{ "flow": { "nodes": [ { "width": 312, "height": 455, "id": "prompt-1711152367542", "type": "prompt", "data": { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "n": 1, "llms": [ { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 } } ], "refresh": false, "fields": [ { "text": "- Sheryl Sandberg: Sheryl Sandberg is an American technology executive, author, and billionaire philanthropist. She is the Chief Operating Officer (COO) of Facebook and the founder of LeanIn.Org.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDone is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Done is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "b4d8d403-ed4c-4b06-9638-d314d87202a3", "metavars": { "": "0", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Great Fire Department: This refers to the New York City Fire Department (FDNY), which is responsible for protecting the citizens and property of New York City from fires and other emergencies.\n- NYC: This refers to New York City, a major metropolitan city located in the state of New York, USA. It is known for its rich cultural diversity and being a global hub for finance, media, art, and entertainment.\n- FDNY: This stands for the New York City Fire Department, mentioned previously, which is responsible for providing fire suppression and rescue services in the five boroughs of New York City.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nShout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Shout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "95b486f0-308d-4b77-899d-91d386dce73f", "metavars": { "": "1", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A global sportswear and footwear brand known for their iconic \"Just Do It\" slogan and endorsement of famous athletes.\n- Wikipedia: A free online encyclopedia containing articles on a wide range of topics, maintained and edited by volunteers from around the world.\n- Nike Ad: Refers to the advertising campaign run by Nike to promote their products, often featuring renowned athletes and inspiring messages.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThere are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "There are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "fb5ceda0-3704-4237-8ad5-1bc3f78e13d3", "metavars": { "": "2", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation specializing in the design, manufacturing, and sales of sports apparel, footwear, equipment, and accessories.\n- Nike's \"Just Do It\": A motivational slogan created by Nike to encourage individuals to push their limits and overcome obstacles in sports and life.\n- Lucas Bishop: A fictional character in the Marvel Comics universe, known as a mutant with the ability to absorb energy and redirect it as concussive blasts.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "0a2a8129-6e61-40d8-a336-fd17ba7b8a6e", "metavars": { "": "3", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Shaquem Griffin: Shaquem Griffin is an American football player who plays in the National Football League (NFL) for the Seattle Seahawks. He became widely known for his inspiring story of overcoming adversity and achieving success in professional football.\n- Seattle Seahawks: The Seattle Seahawks are a professional football team based in Seattle, Washington. They are a member of the NFL and have achieved success and popularity over the years.\n- Nike: Nike is a multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories. It is one of the world's largest and most recognizable sportswear brands.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nOne Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "One Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "a831d0c9-5e95-4971-8523-d75253713e2a", "metavars": { "": "4", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: Nike, Inc. is an American multinational corporation that designs, manufactures, and markets footwear, apparel, equipment, and accessories.\n- Donald Trump: Donald John Trump Sr. is an American politician who served as the 45th president of the United States from 2017 to 2021.\n- JUST DO IT: \"Just Do It\" is a trademark and slogan of Nike, inspiring people to take action and overcome obstacles.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "49f1fb1e-1eb0-4d9f-8964-c81312a8c604", "metavars": { "": "5", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Donald Trump: The 45th President of the United States.\n- entity: Elections: A process where citizens cast votes to choose individuals to hold public office.\n- entity: Nike: An American multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Why won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "1b4300c3-23f6-46f5-a681-2200d0290ac5", "metavars": { "": "6", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation specializing in athletic footwear, apparel, and accessories.\n- Just Do It: A famous slogan used by Nike in its marketing campaigns to encourage people to pursue their goals and dreams.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "68acd884-650b-43a2-b5b4-328d21949af4", "metavars": { "": "7", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation that designs, develops, and sells athletic wear, including footwear, apparel, and accessories.\n- Nike Store: A retail store owned by Nike Inc., where customers can purchase Nike products.\n- Colin Kaepernick: A former professional American football quarterback known for his activism against racial injustice and police brutality, specifically for kneeling during the national anthem.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nGREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "GREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "6dda5873-8748-48e3-8372-481502cf34fe", "metavars": { "": "8", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- ICM: ICM stands for International Capital Market, a leading online trading platform for forex, CFDs, and commodities.\n- TRADERMONI: TraderMoni is a social intervention program in Nigeria that provides loans to small-scale traders.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nLead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Lead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "5411ee35-0f92-45b1-8fdb-b95bcd918193", "metavars": { "": "9", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation that designs, develops, and manufactures athletic footwear, clothing, accessories, and equipment.\n- JustDoIt: The famous slogan and trademark of Nike, encouraging people to be active and fearless.\n- Twitter: A social media platform that allows users to post and interact with messages known as tweets.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMy favorites so far #JustDoIt https://t.co/zY7VDa5Q0X\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "My favorites so far #JustDoIt https://t.co/zY7VDa5Q0X" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "161d0772-5a41-4a08-b1a6-2c42e94923ff", "metavars": { "": "10", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Colin Kaepernick: He is a former professional American football player known for his activism against racial injustice, particularly in the form of kneeling during the national anthem.\n- Nike: It is a multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, and accessories.\n- Black Lives Matter: It is a social movement advocating for the rights and equality of black people, specifically in response to violence and systemic racism.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nColin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Colin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "489f5517-11a5-4e69-832f-df53284d4a56", "metavars": { "": "11", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- CSPensions: a Canadian company that provides pension plans for civil servants and federal government employees\n- Nike: a multinational corporation known for its athletic shoes, apparel, and sports equipment\n- Lion: a large carnivorous mammal of the Felidae family, known for its majestic appearance and strong predatory abilities", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "c6f64b03-6ea6-45b8-a3df-3e76d6b4f33a", "metavars": { "": "12", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Colin Kaepernick: A former professional American football player known for his protests against racial injustice by kneeling during the national anthem.\n- Nike: A multinational corporation specializing in the design, development, manufacturing, and marketing of athletic apparel, footwear, accessories, and equipment.\n- Donald Trump: The 45th President of the United States, a businessman, and television personality.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "3fd687a9-e76e-4a26-86b7-6f6009388a3c", "metavars": { "": "13", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- `RepAdamSchiff`: Adam Schiff is a United States politician who serves as the U.S. Representative for California's 28th congressional district. He is a member of the Democratic Party.\n- `JustDoIt`: \"Just Do It\" is a well-known slogan and trademark of the American sportswear company Nike. It is often associated with motivation and determination.\n- `SpartacAssJr`: No well-known entity was found for this term.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "596b6b42-72c4-47c6-b167-cd03f20e9798", "metavars": { "": "14", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Lion\n description: The lion is a large carnivorous mammal of the cat family, native to Africa and characterized by its strong, regal appearance.\n- entity: Just Do It\n description: \"Just Do It\" is a motivational slogan used by the sportswear company Nike, encouraging people to take action and pursue their goals.\n- entity: Nike\n description: Nike is a multinational corporation known for designing, manufacturing, and selling athletic shoes, clothing, and accessories.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Why be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "69c5e982-9943-4dbd-a8b4-fc6133a49814", "metavars": { "": "15", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Just Do It: A slogan used by the international sportswear brand Nike to encourage people to take action and achieve their goals.\n- Maga: An acronym for \"Make America Great Again,\" which is a political slogan associated with Donald Trump's 2016 presidential campaign and his presidency.\n- Fake News: A term used to describe false or misleading information presented as news, often used to discredit media outlets or stories.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "91a7e003-5435-42a5-b992-f00d3031fff5", "metavars": { "": "16", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Nike\n - description: Nike is a well-known multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Marine\n - description: A marine refers to a member of the United States Marine Corps, which is a branch of the United States Armed Forces. Marines are trained as infantry and are known for their dedication and service to their country.\n- entity: United States Armed Forces\n - description: The United States Armed Forces is the military force of the United States. It consists of the Army, Navy, Air Force, Marine Corps, and Coast Guard and is responsible for the defense of the United States.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nHey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Hey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "e386d1be-1178-4285-b6d3-a465dede6b33", "metavars": { "": "17", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Just Do It\n description: Nike's slogan for their campaign encouraging people to take action and pursue their goals.\n- entity: Left\n description: Referring to the political ideology that supports social equality and progressive policies.\n- entity: Donald Trump\n description: The 45th President of the United States, known for his controversial policies and outspoken personality.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nI’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "I’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "c3834b93-a6fe-4f90-be24-c97c237c3c81", "metavars": { "": "18", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Abortion\n description: A medical procedure that terminates a pregnancy, resulting in the ending of the development and growth of a fetus.\n- entity: Kavanaugh\n description: Referring to Brett Kavanaugh, an American lawyer and jurist who served as an Associate Justice of the Supreme Court of the United States.\n- entity: Democrats\n description: Referring to the Democratic Party, one of the two major political parties in the United States, characterized by its liberal and progressive policies.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAbortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Abortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "953f6abc-3371-42ea-8402-6c0d0698e705", "metavars": { "": "19", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: Nike is a multinational corporation known for designing, manufacturing, and selling athletic shoes, apparel, and sports equipment.\n- Just Do It: \"Just Do It\" is a widely recognized slogan and trademark of Nike, often associated with their advertising campaigns, encouraging individuals to push their limits and overcome any obstacles.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike My favorite Nike commercial ever!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@Nike My favorite Nike commercial ever!! #JustDoIt" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "71fd4fba-2a70-444a-9780-ccc1a1b0ccf4", "metavars": { "": "20", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- Kaepernick7: Colin Kaepernick, a former professional American football player and a prominent civil rights activist known for his protests against racial injustice and police brutality.\n- Nike Women: A line of clothing and footwear specifically designed for women by the brand Nike.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nModeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Modeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "2140d1aa-9283-455e-b4d6-ef2b509f17ef", "metavars": { "": "21", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Discount365days: an online platform that offers discounts on various fashion brands throughout the year.\n- JustDoIt: a slogan and registered trademark of the sportswear brand Nike, encouraging individuals to take action and pursue their goals.\n- Nike: a multinational corporation specializing in the design, development, and manufacturing of footwear, apparel, equipment, and accessories for various sports and activities.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "You are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "4c4e93a3-babb-4c6d-8454-3f0f47ce8a63", "metavars": { "": "22", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation that designs, manufactures, and sells sports footwear, clothing, and equipment.\n- Lady: A term used to refer to a woman of high social position or noble birth.\n- Just Do It: A motivational slogan used by the sports brand Nike, encouraging individuals to take action and overcome obstacles.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMy kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "My kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "5a0ca3e9-9012-4074-800d-505140da7780", "metavars": { "": "23", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: a multinational corporation known for designing, manufacturing, and selling athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a famous advertising slogan used by Nike to encourage people to take action and pursue their goals.\n- Twitter: a popular social media platform where users can post, interact with messages known as \"tweets,\" and follow other users.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDream Big & #Justdoit! https://t.co/Vr4GIyGsoj\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Dream Big & #Justdoit! https://t.co/Vr4GIyGsoj" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "6ab5411a-84e4-4dfd-b086-557033d2fcbe", "metavars": { "": "24", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- New YouTubers: Individuals or groups who have recently started creating content on the YouTube platform.\n- Relationship Goals: A popular hashtag used on social media platforms to refer to aspirational romantic relationships.\n- Just Do It: A famous slogan coined by the sports brand Nike, encouraging people to take action and pursue their goals.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nHey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Hey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "76b181aa-cd07-4d82-a749-6db2060457ef", "metavars": { "": "25", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation that specializes in the design, development, and marketing of athletic apparel, footwear, equipment, and accessories.\n- Just Do It: A slogan created by Nike, encouraging individuals to push their boundaries, take risks, and fulfill their potential.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line.\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Nike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line." }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "cf82f271-84c8-49ab-a47e-cccb3726cc24", "metavars": { "": "26", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Donald Trump\n - description: The 45th President of the United States who is often referred to by his Twitter handle \"@realDonaldTrump\".\n- entity: NFL\n - description: The National Football League, the professional American football league in the United States.\n- entity: Nike\n - description: A global sportswear and equipment manufacturing company.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "94cd171b-a1d4-434c-9b1e-a0fabccea48b", "metavars": { "": "27", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Bravotv: A television network that focuses on reality TV shows, including popular franchises like The Real Housewives.\n- BravoWWHL: Stands for Bravo's Watch What Happens Live, a late-night talk show hosted by Andy Cohen that features celebrity interviews, games, and discussions about Bravo's reality TV shows.\n- Paris Hilton: A well-known American socialite, businesswoman, and media personality, known for her appearance on the reality TV show The Simple Life and her work as a singer, actress, and entrepreneur.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "YOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "899128ff-46c8-40c2-b6d0-8b625f665998", "metavars": { "": "28", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Berkhan: A popular fitness blogger and intermittent fasting advocate known for his expertise in body recomposition and muscle building.\n- Friday: The day of the week that is considered the end of the workweek in many cultures and is often associated with relaxation and fun activities.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDon't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Don't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "dbca1e9a-c96c-4645-ba73-a876227b8493", "metavars": { "": "29", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: a multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, accessories, and services.\n- JustDoIt: Nike's slogan, known for encouraging individuals to have the determination and willpower to overcome obstacles and achieve their goals.\n- #JustDoIt: a hashtag associated with Nike's campaign and brand message, encouraging people to take action and pursue their ambitions.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "b95d06c7-a539-463a-8d49-7751d5a149b7", "metavars": { "": "30", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Nike\n - description: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- entity: Mike Tyson\n - description: Mike Tyson is a former professional boxer who is considered one of the greatest heavyweights in the history of the sport.\n- entity: Tyson\n - description: Tyson is a surname of English origin, but in this context, it likely refers to Mike Tyson.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Why yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "5090bbe4-cd84-4407-89be-1da581879f2c", "metavars": { "": "31", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Miss America\n description: Miss America is a beauty pageant that has been held annually since 1921.\n- entity: Nike\n description: Nike is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- entity: FEMA\n description: FEMA (Federal Emergency Management Agency) is an agency of the United States Department of Homeland Security, created to coordinate the response to disasters that occur within the United States and that overwhelm the resources of local and state authorities.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "45deddcf-c653-4ad9-8ab2-57ca73e076eb", "metavars": { "": "32", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Back to the Future: a science fiction movie franchise directed by Robert Zemeckis, known for its depiction of time travel.\n- Nike Bruins: a type of sneaker released by Nike, based on the shoes worn by the character Marty McFly in the movie Back to the Future.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "23f1b01d-8ff2-4ec2-91f9-a3e81ccbed79", "metavars": { "": "33", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Elon Musk: Entrepreneur and business magnate, known for his role in creating companies like Tesla, SpaceX, and Neuralink.\n", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThe @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "The @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "2483cf6b-f5de-4260-adac-f9b5f6e42fb5", "metavars": { "": "34", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- @tgirlmiller: A Twitter user.\n- @realDonaldTrump: Donald Trump, the 45th President of the United States.\n- Nike: A well-known multinational corporation that designs and manufactures footwear, apparel, equipment, and accessories.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "73f5ff39-46ce-499c-b87f-c5f0c28608c1", "metavars": { "": "35", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A well-known multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Benjamin Franklin: One of the Founding Fathers of the United States who was a polymath, scientist, inventor, writer, and diplomat.\n- Intel: A multinational technology company that is one of the world's largest semiconductor chip manufacturers.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "8c1c8384-eb88-46a2-8503-6d4440f692ee", "metavars": { "": "36", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- @realDonaldTrump: Donald Trump is the 45th President of the United States, known for his controversial political style and policies.\n- Kim: This may refer to Kim Jong-un, the Supreme Leader of North Korea, known for his authoritarian rule and tensions with other countries.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football player known for his protest against racial injustice by kneeling during the national anthem.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "f946981e-0a9b-4e81-a09e-44186d68d20b", "metavars": { "": "37", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, and accessories.\n- Just Do It: A popular tagline and advertising campaign for Nike, encouraging people to push themselves and take action.\n- Cafecito Energy: A brand that offers coffee-based energy drinks to help boost energy levels.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Just do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "f895f16a-635c-41fe-85cc-d1fefd034ae0", "metavars": { "": "38", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Nike \n description: A well-known sportswear brand.\n- entity: Joseph Randle \n description: A former professional American football player who played as a running back for the Dallas Cowboys.\n- entity: Dallas Cowboys \n description: A professional American football team based in Dallas, Texas.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "d5469f81-e740-435f-a1e4-92c6547ff907", "metavars": { "": "39", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation known for designing, manufacturing, and selling athletic footwear, apparel, equipment, and accessories.\n- Rena: It's not clear who Rena is without further context.\n- Kap: It's not clear who Kap is without further context.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Just left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "09529e9e-7bf2-4bc0-9cc6-1e2352e86edf", "metavars": { "": "40", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Mann Cup 2018: A national lacrosse championship held annually in Canada.\n- Curtis Dickson: A professional lacrosse player who plays for the Calgary Roughnecks in the National Lacrosse League.\n- Nike: A multinational corporation that designs, manufactures, and sells athletic shoes, clothing, and accessories.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "7a1f4bc3-ae44-4e9c-a705-f171faae18b0", "metavars": { "": "41", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- LeBron: LeBron James is a professional basketball player widely regarded as one of the greatest players of all time. He has played for multiple teams in the NBA and has won several championships and individual awards.\n- Nike: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories. It is one of the world's largest suppliers of athletic shoes and apparel and is known for its iconic \"Swoosh\" logo.\n- Just Do It: \"Just Do It\" is a well-known slogan associated with Nike. It is a motivational phrase that encourages people to overcome obstacles and pursue their goals.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "2e1eeb38-f4ad-4efb-97ef-f7954f717eae", "metavars": { "": "42", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Sun: The Sun is the star at the center of the Solar System and is crucial for sustaining life on Earth.\n- Virgo: Virgo is one of the 12 astrological signs of the zodiac, typically associated with those born between August 23 and September 22.\n- Just Do It: \"Just Do It\" is a famous slogan used by the athletic company Nike to encourage people to take action and pursue their goals.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSo with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "So with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "fba6a005-9515-47ba-a522-2cd5f008c002", "metavars": { "": "43", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Mr: It is difficult to determine the exact person referred to by \"Mr\" without additional information. \n- Mitch McConnell: Mitch McConnell is an American politician who serves as the United States Senate Majority Leader. \n- GOP: GOP stands for the Grand Old Party, which is a nickname for the Republican Party, one of the two major political parties in the United States.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Mr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "fbc96176-5151-4500-b0eb-499b220d089d", "metavars": { "": "44", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Kyrie: Referring to Kyrie Irving, a professional basketball player who plays for the Brooklyn Nets in the National Basketball Association (NBA).\n- LeBron: Referring to LeBron James, a professional basketball player who currently plays for the Los Angeles Lakers in the NBA. He is considered one of the greatest basketball players of all time.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "ef6b4b19-c6f3-461e-bcbf-4612baa45990", "metavars": { "": "45", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- @realDonaldTrump: Donald Trump is the 45th President of the United States and a prominent businessman.\n- @Nike: Nike is a widely recognized athletic shoe and sportswear company.\n- #TakeTheKnee: Take a Knee movement was initiated by Colin Kaepernick, an American football quarterback, to protest against racial injustice and police brutality in the United States.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "39a7dc02-0a95-4ca5-9361-4d534c3afb03", "metavars": { "": "46", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Larry Elder: An American radio show host, author, and political commentator known for his conservative views.\n- Nike: A multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, and accessories.\n- National Anthem: A patriotic song or hymn identified with a country, traditionally played or sung at public ceremonies or events to express allegiance or loyalty to that country.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nPure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Pure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "1b0ef127-c4b7-40a4-98fb-498a794b2a2b", "metavars": { "": "47", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, accessories, and services.\n- Just Do It: Nike's slogan, often used to inspire people to take action and pursue their goals.\n- Twitter: A social media platform that allows users to post and interact with short messages, called tweets.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIf you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "If you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "93a931cd-5bdf-4829-b86a-e8bd4e2720ab", "metavars": { "": "48", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- ESG Notes: a web series that focuses on Environmental, Social, and Governance (ESG) topics in the investment world.\n- Nike: a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Theranos: a now-defunct health technology company that claimed to have revolutionized blood testing but faced multiple controversies and legal issues.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNew season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "New season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "80b5c9a0-2cd5-4c0c-bbfe-57d096d89427", "metavars": { "": "49", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- `Mojo50`: Mojo50 is a conservative radio network based in the United States that features various talk shows and hosts.\n- `DocThompsonShow`: The Doc Thompson Show was a talk radio show hosted by Doc Thompson, who was a conservative political commentator and media personality.\n- `Brad Staggs`: Brad Staggs is a radio host and producer known for co-hosting the Doc Thompson Show and his work in conservative talk radio.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nInvest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Invest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "6c359e63-3b18-46e3-bf57-8fe74a5d7b77", "metavars": { "": "50", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: cremation\n - description: The act of disposing a dead body by burning it to ashes.\n- entity: rocket launcher\n - description: A portable weapon system designed to launch rockets or missiles.\n- entity: Nike\n - description: An American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIf you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "If you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "84204ba8-5928-472d-a5c6-cb821d8fdcfb", "metavars": { "": "51", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: a well-known multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a well-known slogan coined by Nike encouraging individuals to take action and pursue their goals.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "b7f52923-8cc2-4eee-b5ed-a3f1afbf8067", "metavars": { "": "52", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation that specializes in the design, manufacturing, and sales of sports apparel, footwear, equipment, and accessories.\n- Donovan Bailey: A retired Canadian sprinter who held the world record for the 100 meters from 1996 to 1999 and won two Olympic gold medals in the 4x100 meters relay.\n- Nike slogan \"Just Do It\": A famous advertising slogan introduced by Nike in 1988, encouraging individuals to overcome obstacles and pursue their dreams without hesitation.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDon’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Don’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "760070eb-831a-4487-95f7-4e8db17717f5", "metavars": { "": "53", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: Nike is a well-known multinational corporation that designs, manufactures, and markets athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: Colin Kaepernick is a former professional football quarterback who is known for his activism and advocacy for social justice issues.\n- Just Do It: \"Just Do It\" is a famous marketing tagline by Nike that has become synonymous with their brand and is often associated with empowerment and motivation.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nCreate Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Create Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "22ebf5ed-720d-41ec-b046-e2cb99b346d8", "metavars": { "": "54", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- `McGovern`: George Stanley McGovern (1922-2012) was an American politician and historian who served as a United States Senator from South Dakota from 1963 until 1981. He was the Democratic Party nominee in the 1972 presidential election, but lost to Richard Nixon.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#Justdoit Vote our & oust McGovern!\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "#Justdoit Vote our & oust McGovern!" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "676ae1cf-3051-4792-acce-7bf06d44e703", "metavars": { "": "55", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Colin: Colin Kaepernick, an American football quarterback who gained attention for protesting against racial injustice and police brutality by kneeling during the national anthem.\n- Urkel: Steve Urkel, a fictional character from the TV show \"Family Matters,\" known for his trademark suspenders, glasses, and clumsy demeanor.\n- Nike: Nike, Inc., an American multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, and accessories.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "This is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "ddb8c8ba-26d3-449e-b396-ca5f9cd54102", "metavars": { "": "56", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Nike: A multinational corporation that is engaged in the design, development, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- entity: Just Do It: A trademarked slogan used by Nike to promote its products, often associated with motivation and perseverance.\n- entity: First Amendment: The first amendment to the United States Constitution, which guarantees the right to freedom of speech, religion, the press, assembly, and petition.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Sounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "af417037-3bc7-4bd8-a4bc-192853b32be3", "metavars": { "": "57", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation specializing in sports apparel, footwear, and accessories.\n- Kaepernick: Colin Kaepernick is a former professional American football player, known for his activism and protests against racial injustice during the national anthem. \n- Outrage: A strong feeling of anger or shock in response to an event or situation.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "8ba4934b-bc50-407f-b415-00869ced0d24", "metavars": { "": "58", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Donald Trump: The 45th President of the United States, known for his controversial policies and outspoken nature.\n- Nike: A multinational corporation specializing in athletic footwear, apparel, equipment, and accessories.\n- NFL: The National Football League, a professional American football league consisting of 32 teams.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "11ea82e0-6be6-4549-a259-ad98914b3343", "metavars": { "": "59", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Nike\n description: Nike is a multinational corporation specializing in the design, manufacture, and marketing of athletic apparel, footwear, equipment, and accessories.\n\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former professional football quarterback known for his activism against racial injustice and police brutality. He gained significant attention for kneeling during the national anthem as a peaceful protest.\n\n- entity: Nike NYHQ\n description: Nike NYHQ refers to Nike's New York Headquarters, which serves as the company's office and strategic hub in New York City.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\njust doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "just doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "fa29021d-d447-4e9a-bc2b-d0c5aec8f233", "metavars": { "": "60", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Facebook Live\n - description: Facebook Live is a feature of the social media platform Facebook that allows users to broadcast live videos to their followers in real-time.\n- entity: Nike (Just Do It)\n - description: Nike is a multinational corporation known for manufacturing and selling athletic footwear, apparel, equipment, and accessories. \"Just Do It\" is Nike's famous slogan, encouraging people to take action and pursue their goals.\n- entity: Nurse\n - description: A nurse is a healthcare professional who is trained to provide medical care and assistance to individuals, families, and communities. Nurses play a vital role in promoting and maintaining health, preventing illness, and caring for the sick and injured.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nCheck Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Check Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "da28c648-fbcb-4e95-a478-debc59eca323", "metavars": { "": "61", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A well-known multinational corporation that designs, develops, and manufactures athletic and lifestyle footwear, apparel, equipment, and accessories.\n- Just Do It: A famous slogan and marketing campaign associated with the athletic brand Nike, encouraging people to take action and pursue their goals.\n- Twitter: A popular social media platform that allows users to post and interact with short messages called tweets.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhat ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "What ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "48fbee7b-cee9-491c-823c-b64d37395e42", "metavars": { "": "62", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A well-known global sports apparel and footwear company.\n- Just Do It: Nike's famous slogan encouraging people to take action and overcome obstacles.\n- Twitter: A popular social media platform where users can post and interact with short messages called tweets.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIt saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "It saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "d83c034b-7904-4f37-8e5f-64be86f493dd", "metavars": { "": "63", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Washington Post: A major American daily newspaper known for its coverage of national and international news.\n- Nike: A multinational corporation known for its sports apparel, shoes, and equipment.\n- DJT: An abbreviation commonly used to refer to Donald J. Trump, the 45th President of the United States.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "c82e10bf-d8ec-490f-9c09-e8bf58c0e2bf", "metavars": { "": "64", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: Nike is a multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: Colin Kaepernick is a former NFL quarterback who gained attention for his protests against racial injustice and police brutality by kneeling during the national anthem before football games.\n- Twitter: Twitter is a social media platform that allows users to send and read short messages called \"tweets\".", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "c37e7c6e-896a-4314-96b7-56ee1c1866ae", "metavars": { "": "65", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Nike - A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel, known for its famous slogan \"Just Do It\".\n- entity: Friday - The day of the week that comes after Thursday and before Saturday.\n- entity: Just Do It - A well-known slogan used by Nike to motivate people to take action and overcome obstacles in their lives.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nFriday Mood #JustDoIt https://t.co/D1b8qb3m5y\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Friday Mood #JustDoIt https://t.co/D1b8qb3m5y" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "4c5b088c-546b-4b5a-b62e-ae93a2a6ed50", "metavars": { "": "66", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- `President Trump`: The 45th and current President of the United States, Donald J. Trump. He is a businessman and television personality who became the President in January 2017.\n- `Trump2020`: A reelection campaign slogan for Donald Trump's presidential campaign in the year 2020. It refers to his candidacy for a second term as President of the United States.\n- `RedWave`: A political term used to describe a hypothetical wave election where the Republican Party gains a significant number of seats in Congress. It is often associated with President Trump's call for support during midterm elections.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "2fbeb35b-bb0e-4f68-86d2-29e7d133b0a4", "metavars": { "": "67", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: Nike is a multinational corporation that specializes in designing, manufacturing, and selling athletic shoes, clothing, and equipment.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football player known for his peaceful protests against racial injustice by kneeling during the national anthem.\n- NBC: NBC (National Broadcasting Company) is an American television network that provides news, sports, entertainment, and various TV shows to its viewers.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "759a2f85-237d-4269-bce8-7d40c66f29ea", "metavars": { "": "68", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: a multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, accessories, and services.\n- JustDoIt: a famous Nike slogan that encourages individuals to step out of their comfort zone and take action.\n- Media: a collective communication outlets or tools used to store and deliver information or data to a broad audience.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAnd they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "And they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "074ce2e0-5566-46c4-aea2-0ec0cf6fa86a", "metavars": { "": "69", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- JWKeady: American activist and author\n- Kaepernick7: American football quarterback and civil rights activist\n- KillerMike: American rapper, activist, and actor", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "1e2b4f94-40f3-4438-bcd3-ecbcd8a2dbc8", "metavars": { "": "70", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- DJ ThrillBill: DJ ThrillBill is a renowned DJ based in Charlotte, North Carolina, known for being one of the coolest DJs in the world and having a significant following.\n- Nike: Nike is a well-known multinational corporation specializing in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- 704: 704 is the area code for Charlotte, North Carolina, in the United States. It is frequently used to represent the city or various businesses and organizations based in that area.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nBelieve in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Believe in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "52c6e95e-7cb7-43d5-8a1d-f10ea806fb7f", "metavars": { "": "71", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: A famous Nike slogan that encourages individuals to take action and overcome challenges.\n- Twitter: An American social media platform that allows users to post and interact with messages known as \"tweets\".", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThose three words made all the difference. #JustDoIt https://t.co/CCrqAeINql\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Those three words made all the difference. #JustDoIt https://t.co/CCrqAeINql" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "fa4aebd2-545b-4ece-9377-55aac92e89b5", "metavars": { "": "72", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Nike\n - description: A well-known multinational corporation that specializes in athletic footwear, apparel, equipment, and accessories.\n- entity: Wikipedia\n - description: A free online encyclopedia that contains information on a wide range of topics.\n- entity: \"Just Do It\"\n - description: A popular slogan used by Nike to encourage people to take action and pursue their goals.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "This is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "45328fdc-5fd5-4b3f-801b-448ba662ed7e", "metavars": { "": "73", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Michael Jackson: The \"King of Pop\", Michael Jackson was an American singer, songwriter, and dancer who is regarded as one of the greatest entertainers in the history of music.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "You knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "76feef81-5d6d-4104-86ab-a961898e80d5", "metavars": { "": "74", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation that specializes in the design and manufacture of sports shoes, clothing, and accessories.\n- core values: Fundamental beliefs or principles that guide the behavior and actions of a group or organization.\n- athletes: Individuals who participate in sports and demonstrate exceptional physical prowess, skill, and competitive abilities.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "a27161f6-8f44-43f6-bcde-37e49f5d1393", "metavars": { "": "75", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation that designs, manufactures, and markets athletic apparel, footwear, equipment, and accessories.\n- Just Do It: A famous slogan associated with the Nike brand, encouraging people to take action and pursue their goals by overcoming obstacles.\n- Wikipedia: A free online encyclopedia that allows users to create, edit, and collaborate on articles covering a wide range of topics.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou’ve gotta WORK to make things WORK.\n\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "You’ve gotta WORK to make things WORK.\n\n#JustDoIt" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "33ac3050-082d-4352-baf6-bb159947f939", "metavars": { "": "76", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A well-known multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: A well-known slogan used by Nike as part of its marketing campaigns, intended to inspire and motivate people to take action and overcome obstacles.\n- Twitter: A popular social media platform that allows users to post and interact with messages known as tweets.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nLooking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Looking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "b1353519-f894-493b-96f7-236cd5e72894", "metavars": { "": "77", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Nike\n - description: Nike is a well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, accessories, equipment, and services.\n- entity: Just Do It\n - description: \"Just Do It\" is a famous slogan created by Nike, often associated with their brand and marketing campaigns, promoting a proactive and determined attitude towards achieving one's goals.\n- entity: Nike, Inc.\n - description: Nike, Inc. is the parent company of the Nike brand, known for its iconic swoosh logo. Founded by Bill Bowerman and Phil Knight, it is one of the world's largest suppliers of athletic shoes and apparel, as well as a major manufacturer of sports equipment.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "6d0987c4-905a-4f0c-8d18-55f0e8da237e", "metavars": { "": "78", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Nike\n description: Nike is a multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former National Football League (NFL) quarterback who gained widespread attention for his protests against racial injustice and police brutality by kneeling during the national anthem before NFL games.\n- entity: Just Do It\n description: \"Just Do It\" is a slogan created by Nike that has been used in various advertising campaigns to encourage people to take action and overcome challenges.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "50d923e6-afa6-445b-bd05-33f33ae20007", "metavars": { "": "79", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Nike \n description: Nike is a well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Tanger Outlets\n description: Tanger Outlets is a chain of outlet shopping centers that offers a wide range of brand-name and designer fashions at discounted prices.\n- entity: Grand Rapids\n description: Grand Rapids is a city in Michigan, USA, known for its vibrant arts scene, picturesque riverfront, and numerous museums.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWe out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "We out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "50851c56-4e8e-4890-b946-f1ba2001eaed", "metavars": { "": "80", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: a multinational corporation specializing in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a famous slogan used by Nike to encourage individuals to take action and pursue their goals.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nOwned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Owned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "14118527-6c6f-4a37-a44a-7605f1a43a49", "metavars": { "": "81", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- Just Do It: Nike's iconic slogan, often used as a motivational phrase encouraging individuals to take action and pursue their goals.\n- Colin Kaepernick: A former professional American football quarterback known for his activism and advocacy, particularly against racial injustice and police brutality.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nStand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Stand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "22e96c09-2c4a-420b-912a-c3af99e164f4", "metavars": { "": "82", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- MAGA: An acronym for \"Make America Great Again,\" which is a political slogan commonly associated with Donald Trump's 2016 presidential campaign and his presidency.\n- QAnon: An online conspiracy theory community that believes in deep state conspiracies and secret plots against President Donald Trump.\n- POTUS: An acronym for \"President of the United States,\" which is a title given to the current President of the United States.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNow this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Now this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "33ad10f7-ff1a-4598-80c5-599fefb8328d", "metavars": { "": "83", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- @TsMadisonatl1: Ts Madison is a well-known transgender media personality and social media influencer.\n- @PrimeVideo: Prime Video is an online streaming service owned by Amazon, offering a wide range of movies, TV shows, and original content.\n- @MsIsisKing: Isis King is an American model and fashion designer, known for being the first transgender woman to compete on the reality TV show \"America's Next Top Model\".", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "2fa48697-e8ae-4ff3-acc8-5a518448de7d", "metavars": { "": "84", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Colin Kaepernick: American former professional football quarterback known for his activism and advocacy for social justice issues.\n- Nike: American multinational corporation specializing in the design, development, manufacturing, and marketing of footwear, apparel, and accessories.\n- Just Do It: Nike's slogan, encouraging individuals to push their limits and pursue their goals.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "e48e76c5-be91-4b12-b18c-7d42ac5226f0", "metavars": { "": "85", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: Nike is a multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Karpernick: It appears that \"Karpernick\" is a misspelling or a typo. However, there is a well-known figure named Colin Kaepernick. Colin Kaepernick is an American football quarterback who gained widespread attention for kneeling during the national anthem in protest against racial injustice and police brutality.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIt’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "It’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "10723329-42db-45d1-97f9-d70e0c78509e", "metavars": { "": "86", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Slave Owners\n description: Individuals who owned and enforced slavery on black men and women for economic gain.\n- entity: Private Prisons\n description: Institutional facilities that detain individuals for profit, often criticized for their treatment of inmates.\n- entity: Nike\n description: A multinational corporation known for manufacturing and selling athletic shoes, apparel, and other sports equipment.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSlave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Slave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "d3bffc8c-e88a-4f97-8163-57d8d906b856", "metavars": { "": "87", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation specializing in the design, development, manufacturing, and sales of athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: A former professional American football player known for kneeling during the national anthem as a form of protest against racial injustice and police brutality.\n- Stevie Wonder: A legendary American singer, songwriter, and musician who is considered one of the most influential musicians of the 20th century, known for his soulful voice and ability to play multiple instruments.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "This is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "6ebbd114-f127-4034-bacc-1b71c2d961e2", "metavars": { "": "88", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Nike: A multinational corporation that specializes in athletic footwear, apparel, equipment, and accessories.\n- entity: Advertising: A form of marketing communication used for promoting products, services, or ideas.\n- entity: Just Do It: The well-known slogan of Nike, used to encourage individuals to act decisively and boldly.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Nike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "ae30e888-0613-4771-9918-320ad557a72d", "metavars": { "": "89", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Nike\n description: Nike is a multinational corporation that designs, manufactures, and sells athletic shoes, clothing, and accessories.\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former professional American football quarterback who became known for his protests against racial injustice by kneeling during the national anthem.\n- entity: Black Power\n description: Black Power is a political slogan and a name for various associated ideologies aimed at achieving self-determination for people of African descent.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Just Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "08627962-296c-4cdd-bd4e-b3b785dfc1e3", "metavars": { "": "90", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- @kobebryant: Kobe Bryant is a retired professional basketball player. He is considered one of the greatest basketball players of all time and played for the Los Angeles Lakers in the NBA.\n- Nike: Nike is a multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- Just Do It: \"Just Do It\" is a popular advertising slogan used by Nike since 1988. It has become widely recognized and associated with the brand's products and campaigns.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNo one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "No one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "f9d1f683-e07c-4d0b-88b0-be46376838f6", "metavars": { "": "91", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- NIKE: A multinational corporation that designs, manufactures, and sells athletic shoes, apparel, equipment, and accessories.\n- Donald Trump: The 45th President of the United States, a businessman, television personality, and politician.\n- JUST DO IT: Nike's iconic slogan, encouraging people to take action and push themselves beyond their limits.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "34bead26-cacf-4e87-af8e-83a228747dc9", "metavars": { "": "92", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation that specializes in the design, manufacturing, and distribution of athletic footwear, apparel, equipment, and accessories.\n- Juntas Imparables: A campaign or event associated with Nike that promotes empowerment and determination.\n- Just Do It: Nike's famous slogan, encouraging individuals to take action and pursue their goals.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "Just to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "b024fa0a-7b92-4dd2-a1a1-1ce5f9eae7bc", "metavars": { "": "93", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Lindsey Graham: U.S. Senator Lindsey Graham, who represents South Carolina, is known for his strong conservative stance and his role in various political debates, particularly on foreign policy and national security issues.\n- Marco Rubio: Marco Rubio is a prominent American politician and U.S. Senator from Florida. He gained national attention during his bid for the Republican nomination in the 2016 presidential election and has been actively involved in legislative efforts on immigration and foreign policy.\n- Lisa Murkowski: Lisa Murkowski is a Republican U.S. Senator from Alaska. She is known for her independent stance on various issues and has been a key player in energy and natural resource policy, particularly in relation to her home state.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "e80addf9-a970-447a-887e-4403d1552c61", "metavars": { "": "94", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: An American multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: An American former professional football player who is known for his political activism, especially his peaceful protests against police brutality and racial inequality during the national anthem.\n- Eminem: An American rapper, songwriter, and record producer, widely regarded as one of the greatest and most influential hip hop artists of all time.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nits Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "its Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "8f4118f4-0204-4d6b-be16-dba79fc1e9ff", "metavars": { "": "95", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: TMZ\n - description: TMZ is a celebrity news and gossip website that provides up-to-the-minute entertainment news and coverage on celebrities, Hollywood events, and pop culture.\n- entity: Nike\n - description: Nike is a multinational corporation specializing in the design, development, manufacturing, and marketing of athletic shoes, apparel, equipment, accessories, and services.\n- entity: JustDoIt\n - description: Just Do It is a well-known slogan and advertising campaign used by Nike to encourage people to push their limits and achieve their goals in sports and everyday life.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n.@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": ".@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "5e7e9d93-39db-4616-9ce9-f83825ba671d", "metavars": { "": "96", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- entity: Nike: a multinational corporation that designs, develops, and manufactures footwear and apparel\n- entity: Nike Store: a physical or online retail store operated by Nike\n- entity: #JustDoIt: a famous marketing slogan used by Nike as an encouragement to take action and pursue one's goals", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "19ac4ebb-d965-4eae-96f1-2624d14c64df", "metavars": { "": "97", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation known for its sports apparel, footwear, and accessories.\n- Just Do It: Nike's famous slogan, encouraging individuals to pursue their goals and dreams with determination and resilience.\n- Twitter: A social media platform that allows users to share short messages called tweets with their followers.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "a5a94694-f1b2-47f4-b670-910274a38c47", "metavars": { "": "98", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } }, { "text": "- Nike: A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Kaepernick: Colin Kaepernick, a former professional American football quarterback and civil rights activist known for his protests against racial injustice by kneeling during the national anthem at NFL games.\n- The Ellen Show: A popular American daytime talk show hosted by Ellen DeGeneres, featuring celebrity interviews, comedy, and musical performances.", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAll Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "fill_history": { "tweet_full_text": "All Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om" }, "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "uid": "a7af0baa-7344-43af-92b4-7b2eea463911", "metavars": { "": "99", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ] }, "position": { "x": 592, "y": 320 }, "selected": false, "positionAbsolute": { "x": 592, "y": 320 }, "dragging": false }, { "width": 423, "height": 420, "id": "table-1711152644755", "type": "table", "data": { "rows": [ { "__uid": "5eb167af-aa0e-4264-871e-23e6b2d98c8b", "c0": "0", "c1": "Done is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6" }, { "__uid": "b9183e55-eedf-4238-974a-5dafe608f4c0", "c0": "1", "c1": "Shout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo" }, { "__uid": "e0639160-e1e7-4a24-93f8-86b55d3bf97c", "c0": "2", "c1": "There are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M" }, { "__uid": "bc74ac2e-d6cb-475c-b506-fbcb90d4f7b1", "c0": "3", "c1": "#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU" }, { "__uid": "a623abb5-718c-4374-b6b7-ae35290023e1", "c0": "4", "c1": "One Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7" }, { "__uid": "7e3816d1-7ff0-477f-afa1-2fe371eea763", "c0": "5", "c1": "@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT" }, { "__uid": "a7a0bc89-d4b0-49f2-9553-f81dd3a2e37e", "c0": "6", "c1": "Why won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH" }, { "__uid": "0f198128-0e08-49d8-8558-0732c229e7bd", "c0": "7", "c1": "@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt" }, { "__uid": "a7e6d46e-cdd9-4477-89a6-192949329bf9", "c0": "8", "c1": "GREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ" }, { "__uid": "ed7efd38-8048-46bc-a194-273e0a0824e2", "c0": "9", "c1": "Lead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq" }, { "__uid": "454318a0-23d3-40c0-a779-4ec76a18e11d", "c0": "10", "c1": "My favorites so far #JustDoIt https://t.co/zY7VDa5Q0X" }, { "__uid": "03a1c053-b3da-4352-a4f6-da8f36cd419e", "c0": "11", "c1": "Colin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN" }, { "__uid": "f05f1262-71ff-4d64-b0aa-5ef01baf47bf", "c0": "12", "c1": "@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)" }, { "__uid": "3b6b86f4-680c-47fc-9fdc-cd5fe845cf9f", "c0": "13", "c1": "@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt" }, { "__uid": "86409ada-e301-43b2-8f27-1edc10ab0e0e", "c0": "14", "c1": "@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr" }, { "__uid": "e203b1f7-a94e-4979-a04a-829f55777c6b", "c0": "15", "c1": "Why be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR" }, { "__uid": "94aea242-2769-428a-b6f1-7bf92789f4b3", "c0": "16", "c1": "#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J" }, { "__uid": "0481da40-2a1d-4c32-bc2f-0aa23aa711e8", "c0": "17", "c1": "Hey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt" }, { "__uid": "220af7a5-9940-4d65-8112-bb678ea41846", "c0": "18", "c1": "I’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l" }, { "__uid": "3fcd081e-b198-44cd-a8ef-b4ac0feb970c", "c0": "19", "c1": "Abortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit" }, { "__uid": "ec323e52-82e0-4886-952f-9c3f7d8c0746", "c0": "20", "c1": "@Nike My favorite Nike commercial ever!! #JustDoIt" }, { "__uid": "f65d2fef-bd6f-4d4c-a1a5-928cd212974c", "c0": "21", "c1": "Modeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB" }, { "__uid": "df7e867a-1a70-455d-aeb6-6440a3414510", "c0": "22", "c1": "You are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg" }, { "__uid": "47ec6629-0e67-4c7a-81c1-57ef739233f8", "c0": "23", "c1": "My kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm" }, { "__uid": "5741c064-3d3c-43b3-9430-334b86505472", "c0": "24", "c1": "Dream Big & #Justdoit! https://t.co/Vr4GIyGsoj" }, { "__uid": "354dd9c7-8249-485f-b5c8-79cbf774c7a9", "c0": "25", "c1": "Hey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ" }, { "__uid": "2173fbbe-a2a5-4585-b682-29b1254cc0e2", "c0": "26", "c1": "Nike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line." }, { "__uid": "d755affc-a419-44c0-96ed-161105041d05", "c0": "27", "c1": "@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap" }, { "__uid": "7954de15-bc0f-4e29-9280-c49a7d311cfa", "c0": "28", "c1": "YOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq" }, { "__uid": "ffefa3df-22e0-4882-9b0d-e645c31689d5", "c0": "29", "c1": "Don't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu" }, { "__uid": "36e2ba4e-49cd-47fd-8b33-5b039d2350f6", "c0": "30", "c1": "\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6" }, { "__uid": "4affb8dc-b9c8-40cb-98f2-fb40d32d34b8", "c0": "31", "c1": "Why yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM" }, { "__uid": "b27717ad-46d3-49f2-98d5-51162d9d6965", "c0": "32", "c1": "#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP" }, { "__uid": "b3f743f0-6a92-4a5a-9ef5-6b5e03dc076f", "c0": "33", "c1": "@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt" }, { "__uid": "1cc6fd8a-b876-4be7-8dca-d57dd38dcbf5", "c0": "34", "c1": "The @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy" }, { "__uid": "3ecbf3d9-205d-481e-9448-16fdb3104eef", "c0": "35", "c1": "@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm" }, { "__uid": "0ee08af3-6de2-4960-959b-2919987a71b8", "c0": "36", "c1": "@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt" }, { "__uid": "6ff0ec86-ac6b-4e29-9ac5-cb76b603c26a", "c0": "37", "c1": "@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI" }, { "__uid": "6d65f27d-878d-40fc-8538-e1c07e80cf9b", "c0": "38", "c1": "Just do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG" }, { "__uid": "7c062149-48f6-414e-979a-517522a1debd", "c0": "39", "c1": "#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb" }, { "__uid": "041f18bd-ea29-4656-9c5b-00c0313f9e4d", "c0": "40", "c1": "Just left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann" }, { "__uid": "31a81fed-971c-452a-b86c-f590c0938958", "c0": "41", "c1": "#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq" }, { "__uid": "9e91001c-d40a-489d-a3aa-3c12c3550df6", "c0": "42", "c1": "#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt" }, { "__uid": "6cefadd0-31cd-4e55-8a87-3cb77032567f", "c0": "43", "c1": "So with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl" }, { "__uid": "a03761a3-b286-4c51-bbe0-e0e04bd6ee6a", "c0": "44", "c1": "Mr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt" }, { "__uid": "db822dcc-7f10-41e9-86f8-28c307516cfe", "c0": "45", "c1": "@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker" }, { "__uid": "2372ac44-cb64-41af-a631-310b2b2157ae", "c0": "46", "c1": "@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee" }, { "__uid": "298a98a6-580e-4e76-95f9-44a0abc9ee40", "c0": "47", "c1": "Pure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA" }, { "__uid": "67b470c2-7c97-427e-ab4f-417b1858e070", "c0": "48", "c1": "If you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9" }, { "__uid": "675f6874-d72c-468d-b437-ecebe9224455", "c0": "49", "c1": "New season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn" }, { "__uid": "296346c8-e159-465c-9644-151d0d6e13bc", "c0": "50", "c1": "Invest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro" }, { "__uid": "192bc54a-ff6e-4903-aaff-e094cebbff08", "c0": "51", "c1": "If you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts" }, { "__uid": "be42b57f-ea55-4e0f-a9fe-1cf52216a9ae", "c0": "52", "c1": "@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2" }, { "__uid": "a59b0a90-e6b0-42b2-b5a3-b5b75c5bf873", "c0": "53", "c1": "Don’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit" }, { "__uid": "38a50be8-d45f-43e0-8865-1c61fc748f99", "c0": "54", "c1": "Create Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A" }, { "__uid": "1205d637-cb16-439c-b489-9e5aba7ecad1", "c0": "55", "c1": "#Justdoit Vote our & oust McGovern!" }, { "__uid": "399f94a6-0ddb-4adf-a9e2-96cca29f7f2d", "c0": "56", "c1": "This is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM" }, { "__uid": "8668f115-8d54-4c66-96c5-38393c583f9a", "c0": "57", "c1": "Sounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu" }, { "__uid": "02730b3c-eb34-4c3e-a8a2-605b51799a8a", "c0": "58", "c1": "#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog" }, { "__uid": "049646e6-01a6-488d-99b6-9c45a68b1f2e", "c0": "59", "c1": "@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur" }, { "__uid": "868c146c-c740-4a5d-bad9-25d5867f3e79", "c0": "60", "c1": "just doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI" }, { "__uid": "a7abd139-e354-4530-9561-626e43cfc930", "c0": "61", "c1": "Check Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav" }, { "__uid": "ab4366ed-cc30-409f-a698-e697d2902153", "c0": "62", "c1": "What ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778" }, { "__uid": "9f4df102-1b55-4536-8ac5-ad448c4354dd", "c0": "63", "c1": "It saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3" }, { "__uid": "031f4d08-26e6-4092-9187-56d43f0fe37d", "c0": "64", "c1": "@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018" }, { "__uid": "641b7841-6f79-4c24-89c4-7de1fdb9e3c5", "c0": "65", "c1": "@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll" }, { "__uid": "e4a263f4-53c0-420b-b896-eeddad4a4842", "c0": "66", "c1": "Friday Mood #JustDoIt https://t.co/D1b8qb3m5y" }, { "__uid": "7f2070e3-cf7e-4117-a584-861f892484eb", "c0": "67", "c1": "@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5" }, { "__uid": "e3429be4-4da2-4174-accf-8eb84f24db07", "c0": "68", "c1": "| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL" }, { "__uid": "59639c3a-82c3-469f-b729-cc2d3dd256d2", "c0": "69", "c1": "And they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p" }, { "__uid": "2bcf3668-5604-4e98-9553-d5de8057879c", "c0": "70", "c1": "@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;" }, { "__uid": "908b491b-d7ca-4a76-a458-90f8092c1de5", "c0": "71", "c1": "Believe in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08" }, { "__uid": "011fc12d-b9a1-4acf-9788-b3ca6f3f5d92", "c0": "72", "c1": "Those three words made all the difference. #JustDoIt https://t.co/CCrqAeINql" }, { "__uid": "401ee771-324e-4f5e-ac2d-ec1c465780e4", "c0": "73", "c1": "This is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh" }, { "__uid": "e0e75e37-0c79-4469-9887-e119c80f047f", "c0": "74", "c1": "You knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo" }, { "__uid": "2d26ca19-a2fa-4648-937c-72a922940e46", "c0": "75", "c1": "@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm" }, { "__uid": "5a979470-afd0-4c5c-965e-705e72667096", "c0": "76", "c1": "You’ve gotta WORK to make things WORK.\n\n#JustDoIt" }, { "__uid": "3a854d28-726a-47c0-aa79-0c212f59447f", "c0": "77", "c1": "Looking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd" }, { "__uid": "b2ac458c-1baa-4e5a-a5c8-a9728cc760ff", "c0": "78", "c1": "\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA" }, { "__uid": "eea122e1-cb23-44c2-ad99-650130ec74f6", "c0": "79", "c1": "@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt" }, { "__uid": "620f2641-1487-4764-93be-5bb584b0f6ec", "c0": "80", "c1": "We out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg" }, { "__uid": "cf4542c8-5a06-41eb-878e-44467026d762", "c0": "81", "c1": "Owned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt" }, { "__uid": "b61c5ef5-e980-4f15-b2dd-777411028f1c", "c0": "82", "c1": "Stand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z" }, { "__uid": "a252b7b4-8158-4ade-90f5-532b17fb2764", "c0": "83", "c1": "Now this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg" }, { "__uid": "cb5d817d-d574-4b6f-8754-e3cb8df97073", "c0": "84", "c1": "@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt" }, { "__uid": "2383e8c3-6f73-41df-bccc-8bd91bdb4965", "c0": "85", "c1": "#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh" }, { "__uid": "05089ba3-53df-4092-8de8-7e48d875c112", "c0": "86", "c1": "It’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt" }, { "__uid": "be37aac1-2216-4564-a54c-0bcb4b08e49d", "c0": "87", "c1": "Slave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee" }, { "__uid": "dce5cc10-2daa-44a9-ac24-477b1fc4026e", "c0": "88", "c1": "This is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd" }, { "__uid": "345d8953-a506-4899-8646-545a4cc55664", "c0": "89", "c1": "Nike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ" }, { "__uid": "d22c0d82-1aae-4990-8ec2-cf736a47c2fc", "c0": "90", "c1": "Just Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W" }, { "__uid": "ca96de47-d913-4062-8e3f-23d536cd0742", "c0": "91", "c1": "No one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n" }, { "__uid": "34d96cee-dee3-46c8-b41c-f30be995b9f0", "c0": "92", "c1": "@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds" }, { "__uid": "5dd389d9-c9d4-474d-a94c-b84fba015cf6", "c0": "93", "c1": "Just to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL" }, { "__uid": "8f897eb2-10ed-4d96-a549-2564ec207e5b", "c0": "94", "c1": "@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit" }, { "__uid": "731ceaad-064a-413a-af4c-3e279ce35a1c", "c0": "95", "c1": "its Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep" }, { "__uid": "2bc0ffc5-6d49-4beb-99ea-f2f418fddea0", "c0": "96", "c1": ".@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC" }, { "__uid": "6f4958f2-8070-4006-9aec-680b57134e64", "c0": "97", "c1": "@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP" }, { "__uid": "43cae164-b321-4db8-a3b3-50486d969dab", "c0": "98", "c1": "\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk" }, { "__uid": "2bad6753-209f-48f7-b9ed-ed44d47e824d", "c0": "99", "c1": "All Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om" }, { "__uid": "3a8129cd-f6ff-4f06-b572-d798f9e72b14", "c0": "" } ], "columns": [ { "header": "", "key": "c0" }, { "header": "tweet_full_text", "key": "c1" } ], "sel_rows": null, "title": "Tweet Dataset" }, "position": { "x": 112, "y": 288 }, "selected": false, "positionAbsolute": { "x": 112, "y": 288 }, "dragging": false }, { "width": 332, "height": 249, "id": "multieval-1735333646079", "type": "multieval", "data": { "evaluators": [ { "name": "Is Markdown list?", "uid": "2ae921dd-6ac9-4a9d-a9c8-39f301d59963", "type": "llm", "state": { "prompt": "Respond with 'true' if it's a Markdown list (at least one dashed item -), 'false' if not.", "format": "bin", "grader": { "key": "768fc8d5-2b40-42dd-bb36-11ef229697e2", "settings": { "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "tools": [], "tool_choice": "", "parallel_tool_calls": true, "top_p": 1, "stop": [], "seed": null, "max_tokens": null, "presence_penalty": 0, "frequency_penalty": 0, "logit_bias": null }, "name": "GPT-4", "emoji": "πŸ₯΅", "model": "gpt-4-turbo", "base_model": "gpt-4", "temp": 1, "formData": { "shortname": "GPT-4", "model": "gpt-4-turbo", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "tools": "", "tool_choice": "", "parallel_tool_calls": true, "top_p": 1, "stop": "", "seed": null, "max_tokens": null, "presence_penalty": 0, "frequency_penalty": 0, "logit_bias": null } } } }, { "name": "No Hashtags", "uid": "c30a925b-076a-4a16-a9ac-f7428a7a3d79", "type": "javascript", "state": { "code": "function evaluate(r) {\n\treturn !r.text.includes(\"#\");\n}" } }, { "name": "Understood format", "uid": "306e78ab-4010-4adb-8f22-5fb4eb9e3d30", "type": "llm", "state": { "prompt": "Respond with 'false' if the response has the exact phrase \"entity: \" starting each list item. If it's not using the word \"entity\", return \"true\".", "format": "bin", "grader": { "key": "768fc8d5-2b40-42dd-bb36-11ef229697e2", "settings": { "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "tools": [], "tool_choice": "", "parallel_tool_calls": true, "top_p": 1, "stop": [], "seed": null, "max_tokens": null, "presence_penalty": 0, "frequency_penalty": 0, "logit_bias": null }, "name": "GPT-4", "emoji": "πŸ₯΅", "model": "gpt-4-turbo", "base_model": "gpt-4", "temp": 1, "formData": { "shortname": "GPT-4", "model": "gpt-4-turbo", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "tools": "", "tool_choice": "", "parallel_tool_calls": true, "top_p": 1, "stop": "", "seed": null, "max_tokens": null, "presence_penalty": 0, "frequency_penalty": 0, "logit_bias": null } } } } ] }, "position": { "x": 992, "y": 384 }, "selected": false, "positionAbsolute": { "x": 992, "y": 384 }, "dragging": false } ], "edges": [ { "source": "table-1711152644755", "sourceHandle": "tweet_full_text", "target": "prompt-1711152367542", "targetHandle": "tweet_full_text", "interactionWidth": 40, "markerEnd": { "type": "arrow", "width": "22px", "height": "22px" }, "type": "default", "id": "reactflow__edge-table-1711152644755tweet_full_text-prompt-1711152367542tweet_full_text" }, { "source": "prompt-1711152367542", "sourceHandle": "prompt", "target": "multieval-1711153098452", "targetHandle": "responseBatch", "interactionWidth": 40, "markerEnd": { "type": "arrow", "width": "22px", "height": "22px" }, "type": "default", "id": "reactflow__edge-prompt-1711152367542prompt-multieval-1711153098452responseBatch" }, { "source": "prompt-1711152367542", "sourceHandle": "prompt", "target": "multieval-1711402471516", "targetHandle": "responseBatch", "interactionWidth": 40, "markerEnd": { "type": "arrow", "width": "22px", "height": "22px" }, "type": "default", "id": "reactflow__edge-prompt-1711152367542prompt-multieval-1711402471516responseBatch" }, { "source": "prompt-1711152367542", "sourceHandle": "prompt", "target": "multieval-1735333646079", "targetHandle": "responseBatch", "interactionWidth": 40, "markerEnd": { "type": "arrow", "width": 22, "height": 22 }, "type": "default", "id": "reactflow__edge-prompt-1711152367542prompt-multieval-1735333646079responseBatch" } ], "viewport": { "x": 2.5273919753085465, "y": -95.55330073096468, "zoom": 0.9645061728395065 } }, "cache": { "prompt-1711152367542_0.json": { "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "91709977-896c-4c5b-8dbc-75c82498c829", "responses": [ "- Lucas Bishop's Cigar Lounge: a cigar lounge owned by Lucas Bishop" ], "raw_response": { "id": "chatcmpl-96mtKLWAgs5ZetVaMfrMQJCgP31ze", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Lucas Bishop's Cigar Lounge: a cigar lounge owned by Lucas Bishop" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 15, "promptTokens": 128, "totalTokens": 143 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU" }, "metavars": { "": "3", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "3fcfb872-39b4-44c4-b7f0-ade02266a374", "responses": [ "- Nike: A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel." ], "raw_response": { "id": "chatcmpl-96mtKFt9lFs4WXNUKbovC7aFI3oeb", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 21, "promptTokens": 120, "totalTokens": 141 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT" }, "metavars": { "": "5", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nShout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nShout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "ba8bd085-aef7-4402-b698-4a7c0c301599", "responses": [ "- Great Fire Department: The Great Fire Department is a fire department that provides emergency services in a specific location." ], "raw_response": { "id": "chatcmpl-96mtKqLrqOH3fb8yDGnLxIj8CTrFR", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Great Fire Department: The Great Fire Department is a fire department that provides emergency services in a specific location." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 22, "promptTokens": 203, "totalTokens": 225 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Shout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo" }, "metavars": { "": "1", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIf you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIf you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "a79d57eb-093d-4f43-994d-0360ef98b1b7", "responses": [ "- `JustDoIt`: A motivational slogan and a registered trademark of the apparel company Nike." ], "raw_response": { "id": "chatcmpl-96mtKJdD9ufmRmCpH3AWLfsxrv6Mi", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- `JustDoIt`: A motivational slogan and a registered trademark of the apparel company Nike." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 19, "promptTokens": 138, "totalTokens": 157 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "If you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9" }, "metavars": { "": "48", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNow this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNow this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "918eb550-1bff-4394-891d-61bf45df7fee", "responses": [ "- POTUS: The President of the United States of America." ], "raw_response": { "id": "chatcmpl-96mtK37EpMzoDcDE1dcZSohG4Vbsu", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- POTUS: The President of the United States of America." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 13, "promptTokens": 149, "totalTokens": 162 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Now this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg" }, "metavars": { "": "83", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nMy kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nMy kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "72a3aa3e-7fb9-4851-8ab4-8a44d23b867d", "responses": [ "- Nike: a multinational corporation that designs, develops, and manufactures athletic footwear, apparel, equipment, and accessories." ], "raw_response": { "id": "chatcmpl-96mtKjOZPwRbgT0ScNcaUt016lj08", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation that designs, develops, and manufactures athletic footwear, apparel, equipment, and accessories." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 23, "promptTokens": 117, "totalTokens": 140 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "My kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm" }, "metavars": { "": "23", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYou’ve gotta WORK to make things WORK.\n\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYou’ve gotta WORK to make things WORK.\n\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "af126ae6-3519-4b52-9151-2cacb88fb4a5", "responses": [ "- WORK: refers to the concept of putting effort and diligence into achieving success or making something functional." ], "raw_response": { "id": "chatcmpl-96mtK6646kyduiaAnq9ikgkWGpo87", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- WORK: refers to the concept of putting effort and diligence into achieving success or making something functional." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 20, "promptTokens": 109, "totalTokens": 129 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "You’ve gotta WORK to make things WORK.\n\n#JustDoIt" }, "metavars": { "": "76", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDream Big & #Justdoit! https://t.co/Vr4GIyGsoj\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDream Big & #Justdoit! https://t.co/Vr4GIyGsoj\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "d6aadc09-0379-42b3-bac7-ceca9777b29b", "responses": [ "- Dream Big: This is not a recognized entity.\n- Justdoit: This is not a recognized entity." ], "raw_response": { "id": "chatcmpl-96mtKE6siCVjgBuW4HwoLbWygDxuN", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Dream Big: This is not a recognized entity.\n- Justdoit: This is not a recognized entity." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 23, "promptTokens": 118, "totalTokens": 141 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Dream Big & #Justdoit! https://t.co/Vr4GIyGsoj" }, "metavars": { "": "24", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nStand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nStand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "224d506d-99ae-4edb-b4c7-29d3230db882", "responses": [ "- `Just Do It`: Nike's famous slogan used in their marketing campaigns to motivate people to take action and pursue their dreams." ], "raw_response": { "id": "chatcmpl-96mtKCQfypXjfTAaeg3Hm6u4dIngk", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- `Just Do It`: Nike's famous slogan used in their marketing campaigns to motivate people to take action and pursue their dreams." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 26, "promptTokens": 127, "totalTokens": 153 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Stand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z" }, "metavars": { "": "82", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "75f137a9-43f1-4132-ba48-df2407f17e6c", "responses": [ "- Paris Hilton: An American media personality, socialite, businesswoman, model, actress, singer, DJ, and author." ], "raw_response": { "id": "chatcmpl-96mtKT9AxzeNEnJYmYDHpWcGrdvIR", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Paris Hilton: An American media personality, socialite, businesswoman, model, actress, singer, DJ, and author." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 26, "promptTokens": 140, "totalTokens": 166 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "YOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq" }, "metavars": { "": "28", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThis is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThis is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "d12ed1b2-982e-43bd-9fdb-533bba75d408", "responses": [ "- \"justdoit\": a slogan used by the sportswear brand Nike to encourage people to take action and pursue their goals." ], "raw_response": { "id": "chatcmpl-96mtKv0kzytTm1ZGwF9X4Fi3z1rzv", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- \"justdoit\": a slogan used by the sportswear brand Nike to encourage people to take action and pursue their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 27, "promptTokens": 148, "totalTokens": 175 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "This is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh" }, "metavars": { "": "73", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nMy favorites so far #JustDoIt https://t.co/zY7VDa5Q0X\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nMy favorites so far #JustDoIt https://t.co/zY7VDa5Q0X\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "94915bcb-62b6-402a-ab6e-0c4f738c2ace", "responses": [ "- favorites: This is not a named entity.\n- JustDoIt: This is not a named entity.\n- https://t.co/zY7VDa5Q0X: This is not a named entity." ], "raw_response": { "id": "chatcmpl-96mtKVwbUbbhrHy7dTpYvFR4mOOYB", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- favorites: This is not a named entity.\n- JustDoIt: This is not a named entity.\n- https://t.co/zY7VDa5Q0X: This is not a named entity." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 44, "promptTokens": 117, "totalTokens": 161 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "My favorites so far #JustDoIt https://t.co/zY7VDa5Q0X" }, "metavars": { "": "10", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "3cb93b6c-4bd7-4597-93f4-1e8c5d70a680", "responses": [ "- @realDonaldTrump: Donald Trump, the 45th President of the United States.\n- @ColinKaperneck7: Colin Kaepernick, an American professional football player known for his activism against racial injustice." ], "raw_response": { "id": "chatcmpl-96mtKno0Vsph9AEZOyrsLTL4D7Xfd", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- @realDonaldTrump: Donald Trump, the 45th President of the United States.\n- @ColinKaperneck7: Colin Kaepernick, an American professional football player known for his activism against racial injustice." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "low", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 42, "promptTokens": 131, "totalTokens": 173 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt" }, "metavars": { "": "13", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "a9011651-bc17-466e-bc59-1feda1f217b2", "responses": [ "- Nike: a global sportswear and footwear brand.\n- JustDoIt: a famous Nike slogan that encourages people to take action and achieve their goals." ], "raw_response": { "id": "chatcmpl-96mtKUTO51wl3PkdaV8V9LrVIO4QY", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a global sportswear and footwear brand.\n- JustDoIt: a famous Nike slogan that encourages people to take action and achieve their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 32, "promptTokens": 122, "totalTokens": 154 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2" }, "metavars": { "": "52", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nOwned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nOwned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "2691d596-3313-43bc-b798-08dc814639ca", "responses": [ "- Nike: An American multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories.\n- JustDoIt: Nike's well-known slogan, encouraging people to be active and overcome challenges." ], "raw_response": { "id": "chatcmpl-96mtKN2awyYV2wPSO5eo4ICNnFyOX", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: An American multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories.\n- JustDoIt: Nike's well-known slogan, encouraging people to be active and overcome challenges." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 43, "promptTokens": 121, "totalTokens": 164 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Owned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt" }, "metavars": { "": "81", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c83d6645-91c3-4243-bcc5-12a7af2f4774", "responses": [ "- Nike: A multinational corporation that designs, develops, and manufactures athletic footwear, apparel, equipment, and accessories.\n- Kaepernick7: Colin Kaepernick, a former professional American football quarterback who is known for his activism against racial injustice and police brutality." ], "raw_response": { "id": "chatcmpl-96mtKY1TB4XyzsU6irbYn0myVQyRd", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that designs, develops, and manufactures athletic footwear, apparel, equipment, and accessories.\n- Kaepernick7: Colin Kaepernick, a former professional American football quarterback who is known for his activism against racial injustice and police brutality." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 49, "promptTokens": 125, "totalTokens": 174 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt" }, "metavars": { "": "79", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "dcccfebe-b331-44e6-9a82-55093242506e", "responses": [ "- @RepAdamSchiff: Adam Schiff is the representative for California's 28th congressional district in the United States House of Representatives. He is a member of the Democratic Party and has served in Congress since 2001." ], "raw_response": { "id": "chatcmpl-96mtKkwvuNGGlcfl01EFLO8Ky5Lns", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- @RepAdamSchiff: Adam Schiff is the representative for California's 28th congressional district in the United States House of Representatives. He is a member of the Democratic Party and has served in Congress since 2001." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 46, "promptTokens": 120, "totalTokens": 166 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr" }, "metavars": { "": "14", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "0afa2a59-d84b-4a83-bd1a-a0b308eaccb0", "responses": [ "- `Nike`: Nike is a multinational corporation that specializes in the manufacturing and selling of sports footwear, apparel, equipment, and accessories. It is one of the leading brands in the sportswear industry." ], "raw_response": { "id": "chatcmpl-96mtK6o4mBNrNOEtj8Az2GXs6QUCW", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- `Nike`: Nike is a multinational corporation that specializes in the manufacturing and selling of sports footwear, apparel, equipment, and accessories. It is one of the leading brands in the sportswear industry." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 41, "promptTokens": 130, "totalTokens": 171 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt" }, "metavars": { "": "33", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c874b896-f0e1-47ad-889c-639bac45f749", "responses": [ "- @nikestore: The official Twitter account of the Nike Store.\n- nikes: A popular brand of athletic shoes produced by Nike.\n- #JUSTDOIT: A slogan and hashtag associated with Nike's marketing campaigns." ], "raw_response": { "id": "chatcmpl-96mtK9aTHVVAgiyG7Q34iQfCqHN2H", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- @nikestore: The official Twitter account of the Nike Store.\n- nikes: A popular brand of athletic shoes produced by Nike.\n- #JUSTDOIT: A slogan and hashtag associated with Nike's marketing campaigns." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 46, "promptTokens": 122, "totalTokens": 168 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP" }, "metavars": { "": "97", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "5e94984b-6080-43d9-98f6-d0817721554f", "responses": [ "- Nike: Nike is a multinational corporation that designs, manufactures, and sells athletic shoes, apparel, equipment, and accessories.\n- athletes: Athletes are individuals who participate in sports or other competitive activities and are internationally recognized for their skills and accomplishments." ], "raw_response": { "id": "chatcmpl-96mtKEdULyiLsAonTBrX9o8COseRm", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is a multinational corporation that designs, manufactures, and sells athletic shoes, apparel, equipment, and accessories.\n- athletes: Athletes are individuals who participate in sports or other competitive activities and are internationally recognized for their skills and accomplishments." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 50, "promptTokens": 148, "totalTokens": 198 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm" }, "metavars": { "": "75", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhy be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhy be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "21425d42-3833-4527-b545-33a6b80ed4c4", "responses": [ "- cat: a small domesticated carnivorous mammal that typically has a long body and tail and is kept as a pet or for catching mice.\n- lion: a large tawny-colored cat that lives in prides, found in Africa and northwest India, and noted for its power and strength." ], "raw_response": { "id": "chatcmpl-96mtKSPjszXYBZXIiBBvlRR3Lrtj2", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- cat: a small domesticated carnivorous mammal that typically has a long body and tail and is kept as a pet or for catching mice.\n- lion: a large tawny-colored cat that lives in prides, found in Africa and northwest India, and noted for its power and strength." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 61, "promptTokens": 121, "totalTokens": 182 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Why be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR" }, "metavars": { "": "15", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYou knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYou knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "8275736e-049a-47c5-a951-b7fc1b22c5d7", "responses": [ "- `Michael Jackson`: A famous American singer, songwriter, and dancer known as the \"King of Pop\". He is regarded as one of the greatest entertainers in the history of popular music." ], "raw_response": { "id": "chatcmpl-96mtK6hOl6FaATeCmyVVpBOR7QraO", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- `Michael Jackson`: A famous American singer, songwriter, and dancer known as the \"King of Pop\". He is regarded as one of the greatest entertainers in the history of popular music." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 39, "promptTokens": 131, "totalTokens": 170 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "You knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo" }, "metavars": { "": "74", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDone is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDone is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c547f5e2-114f-460a-8a8f-0d9f864a9fef", "responses": [ "- Sheryl Sandberg: Sheryl Sandberg is an American technology executive, author, and philanthropist. She is currently the Chief Operating Officer (COO) of Facebook and the founder of Leanin.org, a non-profit organization aimed at supporting women in the workplace." ], "raw_response": { "id": "chatcmpl-96mtKlF0b2qBQg927VmhZCHZ4Tqwr", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Sheryl Sandberg: Sheryl Sandberg is an American technology executive, author, and philanthropist. She is currently the Chief Operating Officer (COO) of Facebook and the founder of Leanin.org, a non-profit organization aimed at supporting women in the workplace." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 56, "promptTokens": 128, "totalTokens": 184 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Done is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6" }, "metavars": { "": "0", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "155fedd3-dd65-42b9-83c1-334fd7997e5f", "responses": [ "- Nike: A multinational corporation that designs, manufactures, and sells athletic shoes, clothing, and equipment.\n- CafΓ© Cubano: A type of espresso originating from Cuba, typically prepared with darkly roasted coffee beans.\n- Energy: The capacity of a physical system to do work or the potential to cause motion." ], "raw_response": { "id": "chatcmpl-96mtKyHjuj28ZtY0vlaDn5Hm2RGvW", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that designs, manufactures, and sells athletic shoes, clothing, and equipment.\n- CafΓ© Cubano: A type of espresso originating from Cuba, typically prepared with darkly roasted coffee beans.\n- Energy: The capacity of a physical system to do work or the potential to cause motion." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 62, "promptTokens": 131, "totalTokens": 193 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Just do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG" }, "metavars": { "": "38", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "a022f53b-1d9a-46d3-94c4-f1ee27ef0e1c", "responses": [ "- Great Lakes Crossing: a shopping center located in Auburn Hills, Michigan, USA\n- Nike: an American multinational corporation specializing in athletic wear\n- Rena: no matching entity found\n- Kap: no matching entity found" ], "raw_response": { "id": "chatcmpl-96mtKmvuB7jjyvlLkQAFPAbyJbDUh", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Great Lakes Crossing: a shopping center located in Auburn Hills, Michigan, USA\n- Nike: an American multinational corporation specializing in athletic wear\n- Rena: no matching entity found\n- Kap: no matching entity found" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 44, "promptTokens": 167, "totalTokens": 211 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Just left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann" }, "metavars": { "": "40", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIt’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIt’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "2c49aa12-d7cf-49e2-9ee1-bdf4d4d719af", "responses": [ "- Nike: A multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, accessories, and services.\n- Karpernick: Colin Kaepernick, a former American football quarterback and activist, known for his protests against racial injustice and police brutality by kneeling during the national anthem." ], "raw_response": { "id": "chatcmpl-96mtK4bqgpmHCZ14igyHpdoLEhPxu", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, accessories, and services.\n- Karpernick: Colin Kaepernick, a former American football quarterback and activist, known for his protests against racial injustice and police brutality by kneeling during the national anthem." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 57, "promptTokens": 124, "totalTokens": 181 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "It’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt" }, "metavars": { "": "86", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nCreate Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nCreate Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "de755c18-9932-43f0-afbe-4831c4932617", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and sale of athletic shoes, clothing, and accessories.\n- Colin Kaepernick: A former professional American football quarterback who gained prominence for his activism on social and racial issues, particularly by taking a knee during the national anthem before NFL games." ], "raw_response": { "id": "chatcmpl-96mtKobO7cfSRztcTcrbUk88GKiei", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that specializes in the design, manufacturing, and sale of athletic shoes, clothing, and accessories.\n- Colin Kaepernick: A former professional American football quarterback who gained prominence for his activism on social and racial issues, particularly by taking a knee during the national anthem before NFL games." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 60, "promptTokens": 148, "totalTokens": 208 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Create Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A" }, "metavars": { "": "54", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n.@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n.@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "be7f8583-b0db-4e63-b588-70d465a628f8", "responses": [ "- TMZ: a tabloid news website that focuses on celebrity and entertainment news.\n- Nike: a multinational corporation that designs, develops, and sells athletic shoes, apparel, accessories, and equipment.\n- Just Do It: Nike's advertising slogan encouraging people to push their limits and strive for greatness." ], "raw_response": { "id": "chatcmpl-96mtKfvgvRpsxj9lmQQtQbAiKM90p", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- TMZ: a tabloid news website that focuses on celebrity and entertainment news.\n- Nike: a multinational corporation that designs, develops, and sells athletic shoes, apparel, accessories, and equipment.\n- Just Do It: Nike's advertising slogan encouraging people to push their limits and strive for greatness." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 59, "promptTokens": 126, "totalTokens": 185 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": ".@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC" }, "metavars": { "": "96", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWe out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWe out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c1d85549-ef65-4562-a963-f7750ee2b945", "responses": [ "- Nike: A multinational corporation specializing in sports apparel and equipment.\n- Tanger Outlets: A chain of outlet shopping centers located in the United States and Canada. \n- Grand Rapids: The second-largest city in Michigan, known for its vibrant arts scene and outdoor recreational activities." ], "raw_response": { "id": "chatcmpl-96mtK2ojawkhRH8TiEFH8U0mok604", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation specializing in sports apparel and equipment.\n- Tanger Outlets: A chain of outlet shopping centers located in the United States and Canada. \n- Grand Rapids: The second-largest city in Michigan, known for its vibrant arts scene and outdoor recreational activities." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 56, "promptTokens": 127, "totalTokens": 183 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "We out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg" }, "metavars": { "": "80", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike My favorite Nike commercial ever!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike My favorite Nike commercial ever!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "7f29079f-df82-417c-9bc6-bc5e3915d128", "responses": [ "- Nike: Nike is an American multinational corporation that is known for designing, manufacturing, and selling footwear, athletic equipment, and apparel.\n- Nike commercial: Nike commercials are advertisements created by Nike to promote their products or brand. They often feature professional athletes or tell inspiring stories related to sports and fitness." ], "raw_response": { "id": "chatcmpl-96mtK4THvbMT5cKmF8RF66iRw59NI", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is an American multinational corporation that is known for designing, manufacturing, and selling footwear, athletic equipment, and apparel.\n- Nike commercial: Nike commercials are advertisements created by Nike to promote their products or brand. They often feature professional athletes or tell inspiring stories related to sports and fitness." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 60, "promptTokens": 108, "totalTokens": 168 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike My favorite Nike commercial ever!! #JustDoIt" }, "metavars": { "": "20", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "8bfc3b2a-de80-43de-8794-762ae9143ea3", "responses": [ "- Nike: A multinational corporation specializing in the design, development, manufacturing, and sales of athletic footwear, apparel, equipment, accessories, and services.\n- the whole world: Refers to the entirety of the Earth and its inhabitants.\n- JustDoIt: The slogan of Nike, commonly associated with their branding and marketing campaigns." ], "raw_response": { "id": "chatcmpl-96mtKfV8xjrop4yiC5dSBDcacSGAJ", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation specializing in the design, development, manufacturing, and sales of athletic footwear, apparel, equipment, accessories, and services.\n- the whole world: Refers to the entirety of the Earth and its inhabitants.\n- JustDoIt: The slogan of Nike, commonly associated with their branding and marketing campaigns." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 66, "promptTokens": 127, "totalTokens": 193 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt" }, "metavars": { "": "7", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#Justdoit Vote our & oust McGovern!\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#Justdoit Vote our & oust McGovern!\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "1427545d-4793-4fb1-a7dc-ed44e7375c4d", "responses": [ "- Vote: The action of expressing a choice or opinion through casting a ballot in an election.\n- McGovern: George McGovern, an American historian, author, U.S. representative, U.S. senator, and the Democratic Party presidential nominee in the 1972 presidential election." ], "raw_response": { "id": "chatcmpl-96mtKhmd3jilrdtLmN6lOhqOw1oeN", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Vote: The action of expressing a choice or opinion through casting a ballot in an election.\n- McGovern: George McGovern, an American historian, author, U.S. representative, U.S. senator, and the Democratic Party presidential nominee in the 1972 presidential election." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 57, "promptTokens": 109, "totalTokens": 166 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#Justdoit Vote our & oust McGovern!" }, "metavars": { "": "55", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "faaeff64-3c18-47de-afab-3b6a0acbebf7", "responses": [ "- `NIKE`: A multinational corporation that specializes in manufacturing and selling athletic footwear, apparel, equipment, and accessories.\n- `DonaldTrump`: The 45th President of the United States, also known as Donald J. Trump. He is a businessman and television personality who entered politics and served as president from 2017 to 2021." ], "raw_response": { "id": "chatcmpl-96mtKZenmbIHAIETf9kVpoAQCrHU2", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- `NIKE`: A multinational corporation that specializes in manufacturing and selling athletic footwear, apparel, equipment, and accessories.\n- `DonaldTrump`: The 45th President of the United States, also known as Donald J. Trump. He is a businessman and television personality who entered politics and served as president from 2017 to 2021." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 69, "promptTokens": 156, "totalTokens": 225 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds" }, "metavars": { "": "92", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhy yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhy yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "f0510141-15b4-4ba2-9950-eafe76347b72", "responses": [ "- Tayson: A person who is being mentioned in the tweet.\n- JustDoIt: A slogan used by Nike in their advertising campaigns.\n- Nike: A multinational corporation known for its athletic shoes, apparel, and sports equipment.\n- Mike Tyson: A former professional boxer who is widely considered one of the greatest heavyweight boxers of all time." ], "raw_response": { "id": "chatcmpl-96mtKjI0cQmq4x6DaIF274OcgrmZM", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Tayson: A person who is being mentioned in the tweet.\n- JustDoIt: A slogan used by Nike in their advertising campaigns.\n- Nike: A multinational corporation known for its athletic shoes, apparel, and sports equipment.\n- Mike Tyson: A former professional boxer who is widely considered one of the greatest heavyweight boxers of all time." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 70, "promptTokens": 138, "totalTokens": 208 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Why yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM" }, "metavars": { "": "31", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nSounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nSounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c13e82e2-47e4-4b9b-9df2-625b5f80a62a", "responses": [ "- Sounds: No description found.\n- plan: No description found.\n- JustDoIt: Nike's slogan for their athletic gear and merchandise.\n- FirstAmendment: The First Amendment to the United States Constitution guarantees freedom of speech, religion, press, assembly, and the right to petition the government." ], "raw_response": { "id": "chatcmpl-96mtKmwAPFAOizGoQI0kg5JeeC9wb", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Sounds: No description found.\n- plan: No description found.\n- JustDoIt: Nike's slogan for their athletic gear and merchandise.\n- FirstAmendment: The First Amendment to the United States Constitution guarantees freedom of speech, religion, press, assembly, and the right to petition the government." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 61, "promptTokens": 121, "totalTokens": 182 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Sounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu" }, "metavars": { "": "57", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nAnd they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nAnd they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c025b461-b908-4912-96ff-cfb64f6b21a3", "responses": [ "- Nike: a multinational corporation specializing in the design, manufacturing, and sales of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: Nike's slogan, encouraging people to push their limits and achieve their goals.\n- Nike: a well-known brand, recognized for their sports apparel and accessories." ], "raw_response": { "id": "chatcmpl-96mtKv7cncrafEMsQ8DMRexfWgDSg", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation specializing in the design, manufacturing, and sales of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: Nike's slogan, encouraging people to push their limits and achieve their goals.\n- Nike: a well-known brand, recognized for their sports apparel and accessories." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 62, "promptTokens": 140, "totalTokens": 202 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "And they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p" }, "metavars": { "": "69", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThis is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThis is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "4ba2bf3b-a3fa-4159-bd81-778e139147ea", "responses": [ "- Colin: Colin Kaepernick, a former American football quarterback who gained attention in 2016 for kneeling during the national anthem in protest against racial injustice and police brutality.\n- Urkel: Steve Urkel, a fictional character from the television show \"Family Matters\" portrayed by actor Jaleel White." ], "raw_response": { "id": "chatcmpl-96mtKsHsAq7pUlCzjLchtDsFqR7Ue", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Colin: Colin Kaepernick, a former American football quarterback who gained attention in 2016 for kneeling during the national anthem in protest against racial injustice and police brutality.\n- Urkel: Steve Urkel, a fictional character from the television show \"Family Matters\" portrayed by actor Jaleel White." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 60, "promptTokens": 167, "totalTokens": 227 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "This is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM" }, "metavars": { "": "56", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "aae91ec5-6e61-42e8-9401-a3bfde6f14c8", "responses": [ "- Nike: A multinational corporation specializing in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- Kaepernick: Colin Kaepernick is a former professional American football quarterback who knelt during the national anthem before NFL games in protest against racial injustice and police brutality." ], "raw_response": { "id": "chatcmpl-96mtKIQda22up7AiFyRE5SzluLEhK", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation specializing in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- Kaepernick: Colin Kaepernick is a former professional American football quarterback who knelt during the national anthem before NFL games in protest against racial injustice and police brutality." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 63, "promptTokens": 137, "totalTokens": 200 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog" }, "metavars": { "": "58", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "639d086b-1f89-4d4c-b51f-04f7e340372f", "responses": [ "- Nike: a multinational corporation specializing in the design, development, and manufacturing of footwear, apparel, accessories, and equipment.\n- JustDoIt: a slogan and trademark of Nike, encouraging individuals to take action and pursue their goals.\n- Branded revolution: a term used to describe Nike's marketing strategy of creating a movement or social change through its branding and advertising campaigns." ], "raw_response": { "id": "chatcmpl-96mtKbOcJJ38fbntOuqMlnazrm4if", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation specializing in the design, development, and manufacturing of footwear, apparel, accessories, and equipment.\n- JustDoIt: a slogan and trademark of Nike, encouraging individuals to take action and pursue their goals.\n- Branded revolution: a term used to describe Nike's marketing strategy of creating a movement or social change through its branding and advertising campaigns." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 75, "promptTokens": 152, "totalTokens": 227 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6" }, "metavars": { "": "30", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nBelieve in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nBelieve in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "13ea4d9e-c523-4866-8a0a-5b477f4c9bb0", "responses": [ "- ThrillBill: A DJ with the stage name ThrillBill.\n- Nike: A multinational corporation specializing in athletic shoes, sports equipment, and apparel.\n- DJ ThrillBill: A disc jockey known as ThrillBill.\n- 704: An area code in North Carolina.\n- CharLIT: A nickname for Charlotte, the largest city in North Carolina.\n- QCdjs: A group or company related to DJing and music production." ], "raw_response": { "id": "chatcmpl-96mtK0OqirkhkjrZyabLA7XX0yLV9", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- ThrillBill: A DJ with the stage name ThrillBill.\n- Nike: A multinational corporation specializing in athletic shoes, sports equipment, and apparel.\n- DJ ThrillBill: A disc jockey known as ThrillBill.\n- 704: An area code in North Carolina.\n- CharLIT: A nickname for Charlotte, the largest city in North Carolina.\n- QCdjs: A group or company related to DJing and music production." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 93, "promptTokens": 169, "totalTokens": 262 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Believe in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08" }, "metavars": { "": "71", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nPure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nPure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "2fe613e2-c7e9-41f3-9b05-115473355bfd", "responses": [ "- Larry Elder: A conservative American radio and television talk show host, author, and attorney.\n- Nike: An American multinational corporation specializing in the design, development, manufacturing, and sales of footwear, apparel, equipment, accessories, and services.\n- National anthem: A musical composition representing and symbolizing a country, typically played or sung on public occasions to express national identity and pride." ], "raw_response": { "id": "chatcmpl-96mtK1H7fROrYWCsz9jt4VywiYrKu", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Larry Elder: A conservative American radio and television talk show host, author, and attorney.\n- Nike: An American multinational corporation specializing in the design, development, manufacturing, and sales of footwear, apparel, equipment, accessories, and services.\n- National anthem: A musical composition representing and symbolizing a country, typically played or sung on public occasions to express national identity and pride." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 77, "promptTokens": 158, "totalTokens": 235 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Pure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA" }, "metavars": { "": "47", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "9f6e0997-9a35-4088-b6bf-0a10b30cee08", "responses": [ "- `Dreams`: Abstract concept representing the conscious state of mind during sleep, often associated with imagination, desires, or goals.\n- `Reality`: The state of existence, encompassing all entities, events, and phenomena that can be perceived or experienced by living beings.\n- `JustDoIt`: A slogan associated with the American multinational corporation Nike, encouraging individuals to take action and pursue their goals without hesitation." ], "raw_response": { "id": "chatcmpl-96mtKOtl9kAR3zfL43OEZBxtsbWfj", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- `Dreams`: Abstract concept representing the conscious state of mind during sleep, often associated with imagination, desires, or goals.\n- `Reality`: The state of existence, encompassing all entities, events, and phenomena that can be perceived or experienced by living beings.\n- `JustDoIt`: A slogan associated with the American multinational corporation Nike, encouraging individuals to take action and pursue their goals without hesitation." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 82, "promptTokens": 132, "totalTokens": 214 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk" }, "metavars": { "": "98", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "f63c5a4b-a651-4c7c-a519-efcc03bf0ec6", "responses": [ "- @realDonaldTrump: Donald Trump, the 45th President of the United States.\n- Nike: A multinational corporation specializing in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- NFL: The National Football League, a professional American football league.\n- NikeKap: An unofficial and unrecognized entity." ], "raw_response": { "id": "chatcmpl-96mtKhzioaiA4bGrjmSMil9S8SoJd", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- @realDonaldTrump: Donald Trump, the 45th President of the United States.\n- Nike: A multinational corporation specializing in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- NFL: The National Football League, a professional American football league.\n- NikeKap: An unofficial and unrecognized entity." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 71, "promptTokens": 134, "totalTokens": 205 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur" }, "metavars": { "": "59", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\njust doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\njust doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "d16128a5-cc0b-4821-8e92-2d69b8571cc8", "responses": [ "- Nike: A multinational corporation that specializes in designing, manufacturing, and selling athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: An American former professional football quarterback who gained significant attention for his protest against racial injustice by kneeling during the national anthem.\n- Nike NYHQ: Nike's New York headquarters, serving as a base for operations, marketing, and management in the region." ], "raw_response": { "id": "chatcmpl-96mtKyqciSL5OK6ku7M5QP4aUYxN5", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that specializes in designing, manufacturing, and selling athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: An American former professional football quarterback who gained significant attention for his protest against racial injustice by kneeling during the national anthem.\n- Nike NYHQ: Nike's New York headquarters, serving as a base for operations, marketing, and management in the region." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 78, "promptTokens": 141, "totalTokens": 219 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "just doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI" }, "metavars": { "": "60", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line.\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line.\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "3ec4af16-8b4c-4a68-9d3c-d35a90f38941", "responses": [ "- Nike: A multinational corporation specializing in the design, development, and manufacturing of athletic apparel, footwear, accessories, and equipment. It is one of the world's largest suppliers of athletic shoes and apparel.\n- JustDoIt: Nike's famous advertising slogan, encouraging people to push their limits and take on challenges. It has been widely recognized and associated with the brand since its introduction in 1988." ], "raw_response": { "id": "chatcmpl-96mtKBQlsGZhhkXK6JJA9O2ciukMM", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation specializing in the design, development, and manufacturing of athletic apparel, footwear, accessories, and equipment. It is one of the world's largest suppliers of athletic shoes and apparel.\n- JustDoIt: Nike's famous advertising slogan, encouraging people to push their limits and take on challenges. It has been widely recognized and associated with the brand since its introduction in 1988." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 81, "promptTokens": 125, "totalTokens": 206 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Nike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line." }, "metavars": { "": "26", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "3799318b-b7bd-4dc4-9686-9424c9b9ff74", "responses": [ "- President Trump: The current President of the United States, Donald Trump.\n- God: A supreme being or deity worshiped in various religions.\n- United States: A country located in North America, consisting of 50 states.\n- Trump2020: A hashtag used to support the re-election campaign of President Trump for the year 2020." ], "raw_response": { "id": "chatcmpl-96mtKZlFYW4WmCMWhVdWWo6xDIWUc", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- President Trump: The current President of the United States, Donald Trump.\n- God: A supreme being or deity worshiped in various religions.\n- United States: A country located in North America, consisting of 50 states.\n- Trump2020: A hashtag used to support the re-election campaign of President Trump for the year 2020." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 70, "promptTokens": 186, "totalTokens": 256 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5" }, "metavars": { "": "67", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "eab18363-badf-4ecd-bc95-a73e57eedae8", "responses": [ "- Nike: A multinational corporation that specializes in athletic shoes, apparel, and equipment.\n- Colin Kaepernick: A former professional American football quarterback known for his activism and social justice advocacy.\n- Black Power: A political movement that emerged in the 1960s in the United States, advocating for self-defense, racial pride, and economic empowerment for Black people.\n- Thugpun: No entity found." ], "raw_response": { "id": "chatcmpl-96mtK4aGevC7ZUAuA25BXnNCq37LB", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that specializes in athletic shoes, apparel, and equipment.\n- Colin Kaepernick: A former professional American football quarterback known for his activism and social justice advocacy.\n- Black Power: A political movement that emerged in the 1960s in the United States, advocating for self-defense, racial pride, and economic empowerment for Black people.\n- Thugpun: No entity found." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 80, "promptTokens": 130, "totalTokens": 210 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Just Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W" }, "metavars": { "": "90", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nColin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nColin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "25b3f741-7880-4951-9b0e-fb10292fafb7", "responses": [ "- Colin Kaepernick: American former professional football player and civil rights activist\n- Nike: American multinational corporation specializing in the design, development, manufacturing, and marketing of footwear, sportswear, equipment, accessories, and services\n- NikeBoycott: A social media campaign urging people to boycott Nike products due to certain controversies or disagreements\n- JustDoIt: Nike's slogan, used in marketing campaigns to inspire and encourage people to take action\n- [Gruesome deaths groups]: No information found in the knowledge base." ], "raw_response": { "id": "chatcmpl-96mtKjtq37Idp2PIAHuqU3Z3BPknX", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Colin Kaepernick: American former professional football player and civil rights activist\n- Nike: American multinational corporation specializing in the design, development, manufacturing, and marketing of footwear, sportswear, equipment, accessories, and services\n- NikeBoycott: A social media campaign urging people to boycott Nike products due to certain controversies or disagreements\n- JustDoIt: Nike's slogan, used in marketing campaigns to inspire and encourage people to take action\n- [Gruesome deaths groups]: No information found in the knowledge base." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 106, "promptTokens": 143, "totalTokens": 249 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Colin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN" }, "metavars": { "": "11", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nSo with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nSo with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "dcb046ca-8d53-49b1-9e0f-2728a68dea47", "responses": [ "- Sun: The Sun is the star at the center of the Solar System and is responsible for the Earth's climate and weather.\n- Virgo: Virgo is one of the 12 zodiac signs and is associated with people born between August 23 and September 22.\n- Sunday: Sunday is the day of the week that follows Saturday and precedes Monday.\n- dietary regimen: A dietary regimen refers to a prescribed plan or routine for consuming food and drinks, typically for health or weight purposes." ], "raw_response": { "id": "chatcmpl-96mtKmXQOv1wPqhCpvPuX8AW6pOqK", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Sun: The Sun is the star at the center of the Solar System and is responsible for the Earth's climate and weather.\n- Virgo: Virgo is one of the 12 zodiac signs and is associated with people born between August 23 and September 22.\n- Sunday: Sunday is the day of the week that follows Saturday and precedes Monday.\n- dietary regimen: A dietary regimen refers to a prescribed plan or routine for consuming food and drinks, typically for health or weight purposes." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 101, "promptTokens": 140, "totalTokens": 241 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "So with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl" }, "metavars": { "": "43", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nInvest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nInvest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "947f3ff8-a577-471c-9202-36c543d3785d", "responses": [ "- DocThompsonShow: Doc Thompson Show is a radio show hosted by Doc Thompson.\n- realBradStaggs: Brad Staggs is a real person, but no further information is available in the knowledge base.\n- foodbizpro: Food Biz Pro is an online platform that provides resources and expertise for individuals in the food business industry." ], "raw_response": { "id": "chatcmpl-96mtK5eArckozJ3nkhpe6onXnpOyx", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- DocThompsonShow: Doc Thompson Show is a radio show hosted by Doc Thompson.\n- realBradStaggs: Brad Staggs is a real person, but no further information is available in the knowledge base.\n- foodbizpro: Food Biz Pro is an online platform that provides resources and expertise for individuals in the food business industry." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 70, "promptTokens": 125, "totalTokens": 195 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Invest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro" }, "metavars": { "": "50", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "75b79193-ccca-487b-8701-80e9afb396f1", "responses": [ "- Nike: Nike is a multinational corporation known for producing athletic footwear, apparel, accessories, and equipment.\n- Juntas Imparables: \"Juntas Imparables\" is a marketing campaign by Nike aimed at empowering and inspiring women to pursue and achieve their goals.\n- Just Do It: \"Just Do It\" is Nike's famous slogan and a trademark phrase used for their promotional campaigns." ], "raw_response": { "id": "chatcmpl-96mtKDrc5lxc0Y9oilZKuUnpkA0kj", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is a multinational corporation known for producing athletic footwear, apparel, accessories, and equipment.\n- Juntas Imparables: \"Juntas Imparables\" is a marketing campaign by Nike aimed at empowering and inspiring women to pursue and achieve their goals.\n- Just Do It: \"Just Do It\" is Nike's famous slogan and a trademark phrase used for their promotional campaigns." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 79, "promptTokens": 134, "totalTokens": 213 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Just to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL" }, "metavars": { "": "93", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b03166a1-cad0-4b4d-83fb-d6889f78f55b", "responses": [ "- `CSPensions`: British Columbia Public Service Pension Plan. A pension plan for employees of the British Columbia government and its agencies.\n- `cat`: A small, carnivorous mammal often kept as a pet. It is known for its independent nature and ability to catch mice and other small animals.\n- `lion`: A large, muscular big cat found in Africa and parts of Asia. It is known for its strength and majestic appearance." ], "raw_response": { "id": "chatcmpl-96mtKNk4kTHSNNCqR4qMrGEqE8qEE", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- `CSPensions`: British Columbia Public Service Pension Plan. A pension plan for employees of the British Columbia government and its agencies.\n- `cat`: A small, carnivorous mammal often kept as a pet. It is known for its independent nature and ability to catch mice and other small animals.\n- `lion`: A large, muscular big cat found in Africa and parts of Asia. It is known for its strength and majestic appearance." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 89, "promptTokens": 116, "totalTokens": 205 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)" }, "metavars": { "": "12", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThere are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThere are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c5887319-1895-4553-8a16-5750f19281d2", "responses": [ "- Nike: a multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- Adidas: a multinational corporation that designs and manufactures sports shoes, clothing, and accessories.\n- Just Do It: a famous slogan coined by Nike, encouraging individuals to push their limits and follow their ambitions.\n- πŸͺ: an emoji representing a cookie, a baked snack typically made of flour, sugar, and butter.\n- πŸ˜‚: an emoji representing \"face with tears of joy,\" used to express amusement or laughter." ], "raw_response": { "id": "chatcmpl-96mtKMzZ8z5Xene3E8yVdwmF6QGAJ", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- Adidas: a multinational corporation that designs and manufactures sports shoes, clothing, and accessories.\n- Just Do It: a famous slogan coined by Nike, encouraging individuals to push their limits and follow their ambitions.\n- πŸͺ: an emoji representing a cookie, a baked snack typically made of flour, sugar, and butter.\n- πŸ˜‚: an emoji representing \"face with tears of joy,\" used to express amusement or laughter." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 116, "promptTokens": 160, "totalTokens": 276 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "There are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M" }, "metavars": { "": "2", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhy won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhy won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "99b138fc-28dc-4c21-8051-bd2ce8f0d838", "responses": [ "- Trump: Donald Trump is the 45th President of the United States.\n- elections: Elections refer to the process where citizens participate in choosing their representatives or government officials.\n- Vote: A vote is a formal expression of one's preference or choice, usually in an election.\n- JustDoIt: Just Do It is a slogan used by the sportswear company Nike in their advertising campaigns." ], "raw_response": { "id": "chatcmpl-96mtKuqXw0k7N7L68txSeVI1NMvki", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Trump: Donald Trump is the 45th President of the United States.\n- elections: Elections refer to the process where citizens participate in choosing their representatives or government officials.\n- Vote: A vote is a formal expression of one's preference or choice, usually in an election.\n- JustDoIt: Just Do It is a slogan used by the sportswear company Nike in their advertising campaigns." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 80, "promptTokens": 134, "totalTokens": 214 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Why won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH" }, "metavars": { "": "6", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nHey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nHey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c13dadc6-8ffb-4600-8735-d63564028a26", "responses": [ "- video: a multimedia presentation that is shared on the internet and can be watched by users\n- new youtubers: individuals who have recently started creating and sharing content on YouTube\n- #relationshipgoals: a hashtag used on social media to express admiration for an idealized or aspirational relationship\n- JustDoIt: a slogan associated with the Nike brand, often used to encourage people to take action or pursue their goals" ], "raw_response": { "id": "chatcmpl-96mtKS1M5rRXEoSAgnOjhviEQ7iv8", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- video: a multimedia presentation that is shared on the internet and can be watched by users\n- new youtubers: individuals who have recently started creating and sharing content on YouTube\n- #relationshipgoals: a hashtag used on social media to express admiration for an idealized or aspirational relationship\n- JustDoIt: a slogan associated with the Nike brand, often used to encourage people to take action or pursue their goals" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 86, "promptTokens": 162, "totalTokens": 248 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Hey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ" }, "metavars": { "": "25", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNo one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNo one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "19e4d8c4-923d-4cde-9ae4-586ef2d592ee", "responses": [ "- `kobebryant`: Kobe Bryant is a retired professional basketball player who played for the Los Angeles Lakers in the NBA. He is considered one of the greatest basketball players of all time. Kobe Bryant won numerous awards and accolades throughout his career and is known for his scoring ability, competitive spirit, and dedication to the game." ], "raw_response": { "id": "chatcmpl-96mtK2bj5yESTq74KMjuKG0YR81Du", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- `kobebryant`: Kobe Bryant is a retired professional basketball player who played for the Los Angeles Lakers in the NBA. He is considered one of the greatest basketball players of all time. Kobe Bryant won numerous awards and accolades throughout his career and is known for his scoring ability, competitive spirit, and dedication to the game." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 68, "promptTokens": 127, "totalTokens": 195 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "No one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n" }, "metavars": { "": "91", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "19b615ba-870d-481a-a77c-0fcc62afe467", "responses": [ "- @nerdygirl007: a Twitter user with the handle \"nerdygirl007\"\n- @1DentalHyGenius: a Twitter user specializing in dental hygiene\n- @IntelisexXx: a Twitter user with the handle \"IntelisexXx\"\n- @NuttyTrump: a Twitter user with the handle \"NuttyTrump\"\n- @CokerRory: a Twitter user with the handle \"CokerRory\"\n- @benFranklin2018: a Twitter user with the handle \"benFranklin2018\"" ], "raw_response": { "id": "chatcmpl-96mtKATZ2oIO5pSMYCZ0zzd17QxdC", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- @nerdygirl007: a Twitter user with the handle \"nerdygirl007\"\n- @1DentalHyGenius: a Twitter user specializing in dental hygiene\n- @IntelisexXx: a Twitter user with the handle \"IntelisexXx\"\n- @NuttyTrump: a Twitter user with the handle \"NuttyTrump\"\n- @CokerRory: a Twitter user with the handle \"CokerRory\"\n- @benFranklin2018: a Twitter user with the handle \"benFranklin2018\"" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 112, "promptTokens": 137, "totalTokens": 249 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt" }, "metavars": { "": "36", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhat ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhat ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "ef8f1114-e903-4d7d-a3fa-fb89e5c6f6c0", "responses": [ "- entity: Just Do It\n description: Just Do It is a slogan used by the sports brand Nike to encourage people to take action and pursue their goals.\n- entity: Nike\n description: Nike is a multinational corporation specializing in the design, manufacture, and sale of footwear, apparel, and sports equipment.\n- entity: The tweet URL\n description: The tweet URL is a link to the specific tweet that was posted on the social media platform." ], "raw_response": { "id": "chatcmpl-96mtKFjYAKTbBOR3GSfhHQLnGmQrX", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Just Do It\n description: Just Do It is a slogan used by the sports brand Nike to encourage people to take action and pursue their goals.\n- entity: Nike\n description: Nike is a multinational corporation specializing in the design, manufacture, and sale of footwear, apparel, and sports equipment.\n- entity: The tweet URL\n description: The tweet URL is a link to the specific tweet that was posted on the social media platform." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 93, "promptTokens": 119, "totalTokens": 212 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "What ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778" }, "metavars": { "": "62", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c83f1e58-5e6b-42e8-8a6d-7cacf7cc8304", "responses": [ "- @tgirlmiller: A user on the social media platform Twitter.\n- @realDonaldTrump: The 45th President of the United States, Donald Trump.\n- Nike: A multinational corporation that designs, manufactures, and sells footwear, apparel, equipment, accessories, and services.\n- homeless veterans: Individuals who have served in the military but are currently without permanent housing.\n- self: Referring to the person who owns the tweet." ], "raw_response": { "id": "chatcmpl-96mtK2VyCov1fn1MX7Oz8fetlU97B", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- @tgirlmiller: A user on the social media platform Twitter.\n- @realDonaldTrump: The 45th President of the United States, Donald Trump.\n- Nike: A multinational corporation that designs, manufactures, and sells footwear, apparel, equipment, accessories, and services.\n- homeless veterans: Individuals who have served in the military but are currently without permanent housing.\n- self: Referring to the person who owns the tweet." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 88, "promptTokens": 144, "totalTokens": 232 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm" }, "metavars": { "": "35", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDon’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDon’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "af616084-a520-4f28-936d-86efca31f17d", "responses": [ "- entity: Nike\n description: A multinational corporation specializing in the design, development, manufacturing, and sales of footwear, apparel, equipment, accessories, and services.\n- entity: Just Do It\n description: A slogan coined by Nike, encouraging people to push beyond their limits and achieve their goals.\n- entity: Dreams\n description: Aspirations, goals, or desires that individuals have for their future." ], "raw_response": { "id": "chatcmpl-96mtKFNIPpXZs1bC2mflUM9d2pgcA", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike\n description: A multinational corporation specializing in the design, development, manufacturing, and sales of footwear, apparel, equipment, accessories, and services.\n- entity: Just Do It\n description: A slogan coined by Nike, encouraging people to push beyond their limits and achieve their goals.\n- entity: Dreams\n description: Aspirations, goals, or desires that individuals have for their future." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 85, "promptTokens": 117, "totalTokens": 202 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Don’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit" }, "metavars": { "": "53", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYou are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYou are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "4a380c6d-1adc-4974-a4ad-d1136b16ee25", "responses": [ "- `Discounts365days`: a company or website that offers discounts on various products and services throughout the year.\n- `JustDoIt`: a famous slogan and trademark associated with the sportswear brand Nike.\n- `Nike`: a multinational corporation that designs, develops, and sells athletic apparel, footwear, accessories, and equipment.\n- `fashion brands`: refers to various companies that specialize in clothing, accessories, and other fashion products. It could include brands like Gucci, Louis Vuitton, Zara, etc." ], "raw_response": { "id": "chatcmpl-96mtKpPvH8cOZuWaDR1HHqI1aiKdV", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- `Discounts365days`: a company or website that offers discounts on various products and services throughout the year.\n- `JustDoIt`: a famous slogan and trademark associated with the sportswear brand Nike.\n- `Nike`: a multinational corporation that designs, develops, and sells athletic apparel, footwear, accessories, and equipment.\n- `fashion brands`: refers to various companies that specialize in clothing, accessories, and other fashion products. It could include brands like Gucci, Louis Vuitton, Zara, etc." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 107, "promptTokens": 131, "totalTokens": 238 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "You are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg" }, "metavars": { "": "22", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nGREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nGREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "51d0b4a1-017b-495b-bb10-990fadbf2fab", "responses": [ "- Nike: Nike is an American multinational corporation that manufactures and sells sports shoes, apparel, equipment, and accessories.\n- Nike store: Nike Store refers to the retail stores operated by Nike Inc., where customers can purchase Nike products.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football player. He is known for his protests against racial injustice and police brutality by kneeling during the national anthem.\n- Just Do It: \"Just Do It\" is a slogan and a trademark of Nike, used to encourage people to take action and strive for their goals." ], "raw_response": { "id": "chatcmpl-96mtKt2mCOMASvjCjz9tkOf98NMuj", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is an American multinational corporation that manufactures and sells sports shoes, apparel, equipment, and accessories.\n- Nike store: Nike Store refers to the retail stores operated by Nike Inc., where customers can purchase Nike products.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football player. He is known for his protests against racial injustice and police brutality by kneeling during the national anthem.\n- Just Do It: \"Just Do It\" is a slogan and a trademark of Nike, used to encourage people to take action and strive for their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 111, "promptTokens": 150, "totalTokens": 261 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "GREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ" }, "metavars": { "": "8", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "0b0e2ef3-1fe6-4b1a-85ca-555fd8c0b76c", "responses": [ "- MannCup2018: The Mann Cup is an annual lacrosse championship series contested between the Western Lacrosse Association (WLA) and the Major Series Lacrosse (MSL) champions.\n- satolax22: No information found.\n- justDOIT: \"Just Do It\" is a trademark slogan of the popular sporting goods brand Nike.\n- WestCoastBestCoast: No information found.\n- CurtisDickson17: Curtis Dickson is a professional lacrosse player who plays for the Calgary Roughnecks in the National Lacrosse League (NLL). He is known for his high-flying and dynamic style of play." ], "raw_response": { "id": "chatcmpl-96mtKaw2LTR7UCowjpGxIazflca2c", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- MannCup2018: The Mann Cup is an annual lacrosse championship series contested between the Western Lacrosse Association (WLA) and the Major Series Lacrosse (MSL) champions.\n- satolax22: No information found.\n- justDOIT: \"Just Do It\" is a trademark slogan of the popular sporting goods brand Nike.\n- WestCoastBestCoast: No information found.\n- CurtisDickson17: Curtis Dickson is a professional lacrosse player who plays for the Calgary Roughnecks in the National Lacrosse League (NLL). He is known for his high-flying and dynamic style of play." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 131, "promptTokens": 150, "totalTokens": 281 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq" }, "metavars": { "": "41", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b96ddcb4-c037-4fd2-b674-f0c6db8810ff", "responses": [ "- Nike: A multinational corporation that designs, develops, and manufactures athletic footwear, apparel, equipment, and accessories.\n- Kyrie: Kyrie Irving, an American professional basketball player who currently plays for the Brooklyn Nets in the NBA.\n- LeBron: LeBron James, an American professional basketball player, widely regarded as one of the greatest basketball players of all time.\n- KingJames: LeBron James, an American professional basketball player, widely regarded as one of the greatest basketball players of all time." ], "raw_response": { "id": "chatcmpl-96mtKbKYyfWkvgizVXT9cqCAJdPW1", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that designs, develops, and manufactures athletic footwear, apparel, equipment, and accessories.\n- Kyrie: Kyrie Irving, an American professional basketball player who currently plays for the Brooklyn Nets in the NBA.\n- LeBron: LeBron James, an American professional basketball player, widely regarded as one of the greatest basketball players of all time.\n- KingJames: LeBron James, an American professional basketball player, widely regarded as one of the greatest basketball players of all time." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 98, "promptTokens": 176, "totalTokens": 274 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker" }, "metavars": { "": "45", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "375b51d5-9a87-4b60-b317-3b02e0376b02", "responses": [ "- Nike: A multinational corporation that specializes in the design, development, and manufacturing of footwear, apparel, equipment, and accessories.\n- 30th Anniversary: A special occasion marking the 30th year since a particular event, such as the founding of a company or the release of a product.\n- JustDoIt: Nike's iconic slogan urging individuals to take action and pursue their goals.\n- Colin Kaepernick: A former American football quarterback known for his activism, particularly for protesting racial injustice in the United States by kneeling during the national anthem." ], "raw_response": { "id": "chatcmpl-96mtKCaRMR2yhYJTzdA4BWfhElOGt", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that specializes in the design, development, and manufacturing of footwear, apparel, equipment, and accessories.\n- 30th Anniversary: A special occasion marking the 30th year since a particular event, such as the founding of a company or the release of a product.\n- JustDoIt: Nike's iconic slogan urging individuals to take action and pursue their goals.\n- Colin Kaepernick: A former American football quarterback known for his activism, particularly for protesting racial injustice in the United States by kneeling during the national anthem." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 109, "promptTokens": 128, "totalTokens": 237 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh" }, "metavars": { "": "85", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nAbortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nAbortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "2b8e56cd-927e-4d9d-8967-1d70a3d75b03", "responses": [ "- entity: Abortion\n description: A medical procedure that terminates a pregnancy by removing the fetus or embryo from the uterus.\n- entity: Kavanaugh\n description: Refers to Brett Kavanaugh, an American judge who served as an Associate Justice of the Supreme Court of the United States from 2018 until 2020.\n- entity: Democrats\n description: Refers to the Democratic Party, one of the two major political parties in the United States.\n- entity: our children\n description: Refers to the children belonging to the author or people in general.\n- entity: justdoit\n description: A hashtag and slogan popularized by the sports apparel brand Nike." ], "raw_response": { "id": "chatcmpl-96mtK0FZIhwWUIxNzOFvKgQNLHoPK", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Abortion\n description: A medical procedure that terminates a pregnancy by removing the fetus or embryo from the uterus.\n- entity: Kavanaugh\n description: Refers to Brett Kavanaugh, an American judge who served as an Associate Justice of the Supreme Court of the United States from 2018 until 2020.\n- entity: Democrats\n description: Refers to the Democratic Party, one of the two major political parties in the United States.\n- entity: our children\n description: Refers to the children belonging to the author or people in general.\n- entity: justdoit\n description: A hashtag and slogan popularized by the sports apparel brand Nike." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 139, "promptTokens": 139, "totalTokens": 278 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Abortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit" }, "metavars": { "": "19", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "e53316ea-08bd-4ee2-a0d2-c04cd31d8100", "responses": [ "- Nike: Nike is a multinational corporation specializing in the design, manufacture, and marketing of athletic shoes, clothing, and accessories.\n- advertising: Advertising refers to the promotion of products, services, or brands through various forms of media in order to attract and persuade potential customers.\n- #justdoit: This hashtag is associated with Nike's slogan and is often used to encourage people to take action and overcome challenges.\n- #nike: This hashtag refers to the brand Nike and is commonly used in social media posts related to the company or its products." ], "raw_response": { "id": "chatcmpl-96mtK5d6QlpUe9guBoewEhz4Susb3", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is a multinational corporation specializing in the design, manufacture, and marketing of athletic shoes, clothing, and accessories.\n- advertising: Advertising refers to the promotion of products, services, or brands through various forms of media in order to attract and persuade potential customers.\n- #justdoit: This hashtag is associated with Nike's slogan and is often used to encourage people to take action and overcome challenges.\n- #nike: This hashtag refers to the brand Nike and is commonly used in social media posts related to the company or its products." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 111, "promptTokens": 128, "totalTokens": 239 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Nike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ" }, "metavars": { "": "89", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "27e11799-9875-4cee-bf90-4985d39eeb6f", "responses": [ "- @realDonaldTrump: Donald Trump, the 45th president of the United States.\n- Kim: Kim Jong-un, the supreme leader of North Korea.\n- ColinKaepernick: Colin Kaepernick, a former American football quarterback known for his activism against racial injustice. \n- Nike: Nike, Inc., an American multinational corporation specializing in the design, development, and manufacturing of footwear, apparel, equipment, accessories, and services.\n- FightFascism: The fight against fascism, a political ideology characterized by dictatorial power, forcible suppression of opposition, and strong nationalist policies." ], "raw_response": { "id": "chatcmpl-96mtKt3x819ZuUirVGWoEWuKAus3T", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- @realDonaldTrump: Donald Trump, the 45th president of the United States.\n- Kim: Kim Jong-un, the supreme leader of North Korea.\n- ColinKaepernick: Colin Kaepernick, a former American football quarterback known for his activism against racial injustice. \n- Nike: Nike, Inc., an American multinational corporation specializing in the design, development, and manufacturing of footwear, apparel, equipment, accessories, and services.\n- FightFascism: The fight against fascism, a political ideology characterized by dictatorial power, forcible suppression of opposition, and strong nationalist policies." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 116, "promptTokens": 156, "totalTokens": 272 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI" }, "metavars": { "": "37", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "94175589-e01f-40ee-be83-d9671e69fda8", "responses": [ "- @TsMadisonatl1: Ts Madison is an American entertainer, entrepreneur, and LGBT rights activist.\n- @PrimeVideo: Prime Video is a streaming service owned by Amazon that offers a wide range of movies and TV shows.\n- @MsIsisKing: Isis King is an American fashion model, actress, and advocate for transgender and LGBTQ+ rights.\n- @Ariscestocrat: Arisce Wanzer, also known as Arisce, is an American transgender model, reality television personality, and advocate.\n- @FishTankSeries: Fish Tank is a British film directed by Andrea Arnold." ], "raw_response": { "id": "chatcmpl-96mtKMxB0NKSRqfjYmTdXiIOUn0Mh", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- @TsMadisonatl1: Ts Madison is an American entertainer, entrepreneur, and LGBT rights activist.\n- @PrimeVideo: Prime Video is a streaming service owned by Amazon that offers a wide range of movies and TV shows.\n- @MsIsisKing: Isis King is an American fashion model, actress, and advocate for transgender and LGBTQ+ rights.\n- @Ariscestocrat: Arisce Wanzer, also known as Arisce, is an American transgender model, reality television personality, and advocate.\n- @FishTankSeries: Fish Tank is a British film directed by Andrea Arnold." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 122, "promptTokens": 140, "totalTokens": 262 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt" }, "metavars": { "": "84", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nHey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nHey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "620374f5-2677-444d-809e-1e7b760e53fd", "responses": [ "- Nike: A multinational corporation that designs, develops, and sells footwear, apparel, equipment, and accessories.\n- United States: A country located in North America, known for its democratic system and diverse population.\n- Marine: A member of the United States Marine Corps, a branch of the U.S. Armed Forces responsible for providing force projection from the sea.\n- Millionaire: An individual who has a net worth of at least one million in currency units.\n- Twitter: A social media platform that allows users to post and interact with short messages, called tweets.\n- Wikipedia: A free online encyclopedia that can be edited by anyone." ], "raw_response": { "id": "chatcmpl-96mtKJMOowrVwByscV5xxdhb2BkGQ", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that designs, develops, and sells footwear, apparel, equipment, and accessories.\n- United States: A country located in North America, known for its democratic system and diverse population.\n- Marine: A member of the United States Marine Corps, a branch of the U.S. Armed Forces responsible for providing force projection from the sea.\n- Millionaire: An individual who has a net worth of at least one million in currency units.\n- Twitter: A social media platform that allows users to post and interact with short messages, called tweets.\n- Wikipedia: A free online encyclopedia that can be edited by anyone." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 127, "promptTokens": 164, "totalTokens": 291 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Hey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt" }, "metavars": { "": "17", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nLead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nLead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "a7c6ad62-3acd-4d06-bac3-e9fe21a07322", "responses": [ "- ICM: ICM is a company that assists in trading and helps individuals succeed in the financial market.\n- TRADERMONI: TRADERMONI is a Nigerian government initiative aimed at providing financial support and empowerment for small traders and businesses.\n- FX: FX refers to the foreign exchange market, where currencies are traded. It is a global decentralized market for the trading of currencies.\n- FridayMotivation: FridayMotivation is a general term used on social media platforms to encourage and inspire individuals to stay motivated and productive on Fridays.\n- FridayFeeling: FridayFeeling is a common expression used to describe the sense of excitement and anticipation that people often experience on Friday, signaling the start of the weekend." ], "raw_response": { "id": "chatcmpl-96mtKzKXho1WJBQstIPX8UfOyuM7l", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- ICM: ICM is a company that assists in trading and helps individuals succeed in the financial market.\n- TRADERMONI: TRADERMONI is a Nigerian government initiative aimed at providing financial support and empowerment for small traders and businesses.\n- FX: FX refers to the foreign exchange market, where currencies are traded. It is a global decentralized market for the trading of currencies.\n- FridayMotivation: FridayMotivation is a general term used on social media platforms to encourage and inspire individuals to stay motivated and productive on Fridays.\n- FridayFeeling: FridayFeeling is a common expression used to describe the sense of excitement and anticipation that people often experience on Friday, signaling the start of the weekend." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 143, "promptTokens": 144, "totalTokens": 287 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Lead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq" }, "metavars": { "": "9", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nits Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nits Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "7668ab52-c818-4841-b88b-2f8ae4ab83ba", "responses": [ "- ColinKaepernick: Colin Kaepernick is a former professional American football player who gained recognition for his protests against racial inequality by taking a knee during the national anthem.\n- Nike: Nike is a multinational corporation that designs, manufactures, and sells sports shoes, clothing, and accessories.\n- Land of the Free: \"Land of the Free\" refers to the United States of America, a country known for its democratic principles and individual freedoms.\n- Eminem: Eminem is the stage name of Marshall Mathers, an American rapper, songwriter, and record producer.\n- Natives: Natives refers to the indigenous people or Aboriginal people of a particular region or country." ], "raw_response": { "id": "chatcmpl-96mtKPQdHqZhbyPT8BD15Ee2qhEKv", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- ColinKaepernick: Colin Kaepernick is a former professional American football player who gained recognition for his protests against racial inequality by taking a knee during the national anthem.\n- Nike: Nike is a multinational corporation that designs, manufactures, and sells sports shoes, clothing, and accessories.\n- Land of the Free: \"Land of the Free\" refers to the United States of America, a country known for its democratic principles and individual freedoms.\n- Eminem: Eminem is the stage name of Marshall Mathers, an American rapper, songwriter, and record producer.\n- Natives: Natives refers to the indigenous people or Aboriginal people of a particular region or country." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 132, "promptTokens": 156, "totalTokens": 288 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "its Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep" }, "metavars": { "": "95", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b3d6c721-2924-41c0-841a-41d2c7e86602", "responses": [ "- Lebron16: The LeBron 16 is a basketball shoe designed and endorsed by LeBron James, an American professional basketball player.\n- LeBron: LeBron James, also known as LeBron Raymone James Sr., is an American professional basketball player who is widely considered one of the greatest basketball players of all time.\n- Nike: Nike, Inc. is an American multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- JustDoIt: \"Just Do It\" is a slogan used by Nike, often associated with their advertising campaigns, promoting a \"Just Do It\" attitude towards sports and life." ], "raw_response": { "id": "chatcmpl-96mtKQ3XKEiBamQCaLqLaYCPMwYyJ", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Lebron16: The LeBron 16 is a basketball shoe designed and endorsed by LeBron James, an American professional basketball player.\n- LeBron: LeBron James, also known as LeBron Raymone James Sr., is an American professional basketball player who is widely considered one of the greatest basketball players of all time.\n- Nike: Nike, Inc. is an American multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- JustDoIt: \"Just Do It\" is a slogan used by Nike, often associated with their advertising campaigns, promoting a \"Just Do It\" attitude towards sports and life." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 128, "promptTokens": 126, "totalTokens": 254 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt" }, "metavars": { "": "42", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThe @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThe @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "de6275ec-c515-4dfa-866c-d7f8d02ae873", "responses": [ "- @elonmusk: Elon Musk is an entrepreneur and business magnate known for his work in the electric vehicle and space industries. He is the CEO and lead designer of SpaceX, CEO and product architect of Tesla, Inc., founder of The Boring Company, and co-founder of Neuralink and OpenAI.\n- JustDoIt: Just Do It is a famous slogan and marketing campaign by the sportswear company Nike. It encourages individuals to take action and overcome obstacles to achieve their goals." ], "raw_response": { "id": "chatcmpl-96mtKI50h4oZDFdUgzFVRpRvdgbqI", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- @elonmusk: Elon Musk is an entrepreneur and business magnate known for his work in the electric vehicle and space industries. He is the CEO and lead designer of SpaceX, CEO and product architect of Tesla, Inc., founder of The Boring Company, and co-founder of Neuralink and OpenAI.\n- JustDoIt: Just Do It is a famous slogan and marketing campaign by the sportswear company Nike. It encourages individuals to take action and overcome obstacles to achieve their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 100, "promptTokens": 121, "totalTokens": 221 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "The @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy" }, "metavars": { "": "34", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nModeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nModeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "f548797c-0a15-4a73-b154-b34822e715ec", "responses": [ "- Friday: refers to a day of the week that is considered to be the end of the workweek in many countries.\n- Nike: an American multinational corporation specializing in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- Kaepernick7: refers to Colin Kaepernick, a former American football quarterback who is known for his social activism.\n- Nike: same as above.\n- nikesportswear: refers to a division of Nike, Inc. that focuses on casual and sportswear clothing and accessories.\n- nikewomen: refers to Nike's line of sports and athletic wear specifically designed for women." ], "raw_response": { "id": "chatcmpl-96mtK1CVEJYnUYyjPsc2iJ3yKXNv0", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Friday: refers to a day of the week that is considered to be the end of the workweek in many countries.\n- Nike: an American multinational corporation specializing in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- Kaepernick7: refers to Colin Kaepernick, a former American football quarterback who is known for his social activism.\n- Nike: same as above.\n- nikesportswear: refers to a division of Nike, Inc. that focuses on casual and sportswear clothing and accessories.\n- nikewomen: refers to Nike's line of sports and athletic wear specifically designed for women." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 135, "promptTokens": 180, "totalTokens": 315 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Modeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB" }, "metavars": { "": "21", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "7a465e0b-22c4-4b5c-9638-55e71070b048", "responses": [ "- Dreams: The manifestations of thoughts, images, and sensations experienced during sleep, representing a person's emotions, desires, and subconscious thoughts.\n- Nike: A multinational corporation known for designing, manufacturing, and selling athletic footwear, apparel, equipment, and accessories.\n- Just Do It: A slogan used by Nike to inspire and motivate individuals to take action and pursue their goals.\n- Believe in Something: A phrase emphasizing the importance of having faith and trust in a particular idea, belief, or cause.\n- Wikipedia: A free online encyclopedia comprising millions of articles on various topics created and edited by volunteers worldwide." ], "raw_response": { "id": "chatcmpl-96mtKX9qTIekPWMMOpSs5P0h4Hy3R", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Dreams: The manifestations of thoughts, images, and sensations experienced during sleep, representing a person's emotions, desires, and subconscious thoughts.\n- Nike: A multinational corporation known for designing, manufacturing, and selling athletic footwear, apparel, equipment, and accessories.\n- Just Do It: A slogan used by Nike to inspire and motivate individuals to take action and pursue their goals.\n- Believe in Something: A phrase emphasizing the importance of having faith and trust in a particular idea, belief, or cause.\n- Wikipedia: A free online encyclopedia comprising millions of articles on various topics created and edited by volunteers worldwide." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 121, "promptTokens": 145, "totalTokens": 266 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA" }, "metavars": { "": "78", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThose three words made all the difference. #JustDoIt https://t.co/CCrqAeINql\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThose three words made all the difference. #JustDoIt https://t.co/CCrqAeINql\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "ba9063c5-9e23-4f46-a96f-3df7af46754d", "responses": [ "- Those three words: This does not refer to a specific entity, but rather emphasizes the importance of a particular message or statement.\n- JustDoIt: Just Do It is a slogan used by the athletic shoe and apparel company Nike. It is meant to motivate and encourage individuals to take action and pursue their goals.\n- Nike: Nike, Inc. is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories. It is one of the world's largest suppliers of athletic shoes and apparel.\n- https://t.co/CCrqAeINql: This is not an entity, but a URL or link to a website." ], "raw_response": { "id": "chatcmpl-96mtKZ9YtrdnCf3lzjkpwEpzXebh6", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Those three words: This does not refer to a specific entity, but rather emphasizes the importance of a particular message or statement.\n- JustDoIt: Just Do It is a slogan used by the athletic shoe and apparel company Nike. It is meant to motivate and encourage individuals to take action and pursue their goals.\n- Nike: Nike, Inc. is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories. It is one of the world's largest suppliers of athletic shoes and apparel.\n- https://t.co/CCrqAeINql: This is not an entity, but a URL or link to a website." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 134, "promptTokens": 119, "totalTokens": 253 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Those three words made all the difference. #JustDoIt https://t.co/CCrqAeINql" }, "metavars": { "": "72", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nSlave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nSlave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "4f31bfdb-457a-4508-917c-e9622ed78a2e", "responses": [ "- Slave owners: Individuals who owned slaves during periods of history when the practice of slavery was legal.\n- Private prisons: Facilities owned by private companies that detain individuals who have been convicted of crimes.\n- Black men and women: Refers to people of African descent, specifically men and women of the Black race.\n- Nike: American multinational corporation that specializes in the design, manufacturing, and marketing of footwear, apparel, and accessories.\n- Kaepernick: Refers to Colin Kaepernick, a former American football quarterback known for his activism against racial injustice and police brutality.\n- Racial injustice: Refers to the unfair treatment or discrimination based on a person's race or ethnicity." ], "raw_response": { "id": "chatcmpl-96mtKXGUzgOhzaWYdp9jHZenosE4N", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Slave owners: Individuals who owned slaves during periods of history when the practice of slavery was legal.\n- Private prisons: Facilities owned by private companies that detain individuals who have been convicted of crimes.\n- Black men and women: Refers to people of African descent, specifically men and women of the Black race.\n- Nike: American multinational corporation that specializes in the design, manufacturing, and marketing of footwear, apparel, and accessories.\n- Kaepernick: Refers to Colin Kaepernick, a former American football quarterback known for his activism against racial injustice and police brutality.\n- Racial injustice: Refers to the unfair treatment or discrimination based on a person's race or ethnicity." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 133, "promptTokens": 154, "totalTokens": 287 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Slave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee" }, "metavars": { "": "87", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDon't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDon't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "1d257615-57a7-4bee-b299-fedca3c54ac4", "responses": [ "- Don't skip leg day: A phrase commonly used in fitness culture to emphasize the importance of working out leg muscles.\n- y'all: A contraction of \"you all,\" a colloquial term used to refer to a group of people, especially in Southern American English.\n- #justdoit: A slogan used by the athletic company Nike, encouraging individuals to take action and pursue their goals.\n- #flexfriday: A hashtag often used on social media platforms, particularly Instagram, to showcase physical fitness achievements on Fridays.\n- #berkhansays: A hashtag likely referring to Martin Berkhan, a Swedish personal trainer and nutrition consultant known for popularizing a specific intermittent fasting protocol." ], "raw_response": { "id": "chatcmpl-96mtKUF0NejKE6pNOORDnyuSBlK1C", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Don't skip leg day: A phrase commonly used in fitness culture to emphasize the importance of working out leg muscles.\n- y'all: A contraction of \"you all,\" a colloquial term used to refer to a group of people, especially in Southern American English.\n- #justdoit: A slogan used by the athletic company Nike, encouraging individuals to take action and pursue their goals.\n- #flexfriday: A hashtag often used on social media platforms, particularly Instagram, to showcase physical fitness achievements on Fridays.\n- #berkhansays: A hashtag likely referring to Martin Berkhan, a Swedish personal trainer and nutrition consultant known for popularizing a specific intermittent fasting protocol." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 139, "promptTokens": 131, "totalTokens": 270 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Don't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu" }, "metavars": { "": "29", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nFriday Mood #JustDoIt https://t.co/D1b8qb3m5y\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nFriday Mood #JustDoIt https://t.co/D1b8qb3m5y\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "98fb39c8-814d-41c5-96a7-ab9c9583a08c", "responses": [ "- Friday: a day of the week, the sixth day of the week in many cultures, known as the start of the weekend in some countries.\n- Mood: refers to a person's emotional state or disposition at a particular time.\n- JustDoIt: a brand slogan used by Nike Inc., a multinational corporation that designs, develops, and manufactures footwear, apparel, and accessories.\n- Nike Inc.: an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- Twitter: an American social networking and microblogging service that enables its users to post and interact with messages known as \"tweets.\"" ], "raw_response": { "id": "chatcmpl-96mtKgrmxGUDy46n1b85LgeRPUduh", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Friday: a day of the week, the sixth day of the week in many cultures, known as the start of the weekend in some countries.\n- Mood: refers to a person's emotional state or disposition at a particular time.\n- JustDoIt: a brand slogan used by Nike Inc., a multinational corporation that designs, develops, and manufactures footwear, apparel, and accessories.\n- Nike Inc.: an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- Twitter: an American social networking and microblogging service that enables its users to post and interact with messages known as \"tweets.\"" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 140, "promptTokens": 115, "totalTokens": 255 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Friday Mood #JustDoIt https://t.co/D1b8qb3m5y" }, "metavars": { "": "66", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIt saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIt saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "340b21c0-8210-4867-89a1-89e8c529c8ed", "responses": [ "- JUSTDOIT: a slogan used by the sportswear brand Nike to encourage people to take action and overcome challenges.\n- Nike: a multinational corporation that designs, manufactures, and sells apparel, footwear, accessories, and equipment for various sports activities.\n- 🌚: commonly referred to as the \"new moon\" emoji, it represents a phase of the moon when it is completely dark or not visible from Earth.\n- 🐾: commonly referred to as the \"paw prints\" emoji, it represents the footprints of an animal.\n- https://t.co/NYIuOqktj3: a hyperlink that directs to a web URL." ], "raw_response": { "id": "chatcmpl-96mtKtmciH3OHiZAiRa5sntXN7oC8", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- JUSTDOIT: a slogan used by the sportswear brand Nike to encourage people to take action and overcome challenges.\n- Nike: a multinational corporation that designs, manufactures, and sells apparel, footwear, accessories, and equipment for various sports activities.\n- 🌚: commonly referred to as the \"new moon\" emoji, it represents a phase of the moon when it is completely dark or not visible from Earth.\n- 🐾: commonly referred to as the \"paw prints\" emoji, it represents the footprints of an animal.\n- https://t.co/NYIuOqktj3: a hyperlink that directs to a web URL." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 135, "promptTokens": 130, "totalTokens": 265 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "It saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3" }, "metavars": { "": "63", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nLooking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nLooking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b620263c-335f-4b20-9960-74807f0085d3", "responses": [ "- Nike: a multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories.\n- Just Do It: a famous slogan for Nike used to encourage determination and motivation.\n- Twitter: a social networking and microblogging service where users post and interact with messages called \"tweets\".\n- The Internet: a global network of computers and other devices that allows communication and sharing of information.\n- Emoji: a small digital image or icon used to express an idea, emotion, etc., in electronic communication.\n- Hashtag: a word or phrase preceded by a hash sign (#), used on social media platforms to identify messages on a specific topic or category." ], "raw_response": { "id": "chatcmpl-96mtK27cUZVAy9Qz9OmSI4mjh46N2", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories.\n- Just Do It: a famous slogan for Nike used to encourage determination and motivation.\n- Twitter: a social networking and microblogging service where users post and interact with messages called \"tweets\".\n- The Internet: a global network of computers and other devices that allows communication and sharing of information.\n- Emoji: a small digital image or icon used to express an idea, emotion, etc., in electronic communication.\n- Hashtag: a word or phrase preceded by a hash sign (#), used on social media platforms to identify messages on a specific topic or category." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 134, "promptTokens": 126, "totalTokens": 260 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Looking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd" }, "metavars": { "": "77", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nCheck Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nCheck Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "3a230634-c5b5-4aaf-b9d9-c95a3ecdf6a1", "responses": [ "- Facebook: a social media platform where users can connect with friends, family, and other users to share content and engage in online communities.\n- Twitter: a social media platform where users can post and interact with messages known as \"tweets.\"\n- Facebook Live: a feature on Facebook that allows users to broadcast live videos to their followers and interact with them in real-time.\n- September 10th: a date in the calendar year.\n- https://t.co/cKpdrrRzTJ: a website or link that can be accessed to find more information.\n- Four Easy Techniques to Keep You Calm as a Nurse: a list or article providing advice and strategies for nurses to maintain a sense of calmness in their profession." ], "raw_response": { "id": "chatcmpl-96mtKuzby0Geh9EPbncOCHbgvjP6j", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Facebook: a social media platform where users can connect with friends, family, and other users to share content and engage in online communities.\n- Twitter: a social media platform where users can post and interact with messages known as \"tweets.\"\n- Facebook Live: a feature on Facebook that allows users to broadcast live videos to their followers and interact with them in real-time.\n- September 10th: a date in the calendar year.\n- https://t.co/cKpdrrRzTJ: a website or link that can be accessed to find more information.\n- Four Easy Techniques to Keep You Calm as a Nurse: a list or article providing advice and strategies for nurses to maintain a sense of calmness in their profession." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 148, "promptTokens": 162, "totalTokens": 310 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Check Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav" }, "metavars": { "": "61", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIf you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIf you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "0c2a40c1-b891-46fb-a819-90efd146fc6c", "responses": [ "- entity: shoulder fired rocket launcher\n - description: A shoulder fired rocket launcher, also known as a man-portable anti-tank weapon, is a type of weapon that is designed to be fired from the shoulder of a single operator.\n- entity: cremated \n - description: Cremation is a method of final disposition of a dead body through burning, typically with the ashes being kept in an urn or scattered in a designated location.\n- entity: LoveIsLove\n - description: LoveIsLove is a slogan and hashtag used to advocate for equal rights and acceptance for the LGBTQ+ community.\n- entity: Justdoit\n - description: Just Do It is a slogan and tagline used by the sportswear brand Nike to encourage individuals to overcome obstacles and pursue their goals." ], "raw_response": { "id": "chatcmpl-96mtKI5lpSIyC1dffjRh7B8wIsZ9t", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: shoulder fired rocket launcher\n - description: A shoulder fired rocket launcher, also known as a man-portable anti-tank weapon, is a type of weapon that is designed to be fired from the shoulder of a single operator.\n- entity: cremated \n - description: Cremation is a method of final disposition of a dead body through burning, typically with the ashes being kept in an urn or scattered in a designated location.\n- entity: LoveIsLove\n - description: LoveIsLove is a slogan and hashtag used to advocate for equal rights and acceptance for the LGBTQ+ community.\n- entity: Justdoit\n - description: Just Do It is a slogan and tagline used by the sportswear brand Nike to encourage individuals to overcome obstacles and pursue their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "low", "filtered": false } } } ], "usage": { "completionTokens": 162, "promptTokens": 143, "totalTokens": 305 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "If you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts" }, "metavars": { "": "51", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNew season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNew season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "0b521c8f-83b0-43d0-aad4-904a9b93c8f8", "responses": [ "- ESG Notes: A web series that discusses environmental, social, and governance issues in the investment world.\n- Nike: A multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, and accessories.\n- Theranos: A now-defunct American health technology company that claimed to have developed a blood-testing technology capable of revolutionizing the industry.\n- Guy Callendar: A British engineer and steam technologist who made significant contributions to the field of climate change research, particularly in establishing the link between carbon dioxide emissions and global warming. \n- Ocean Bonds: Financial instruments designed to fund marine conservation and sustainability projects.\n- The Long Swim: A term referring to a long-distance swimming challenge undertaken by individuals or teams, often to raise awareness or funds for a charitable cause." ], "raw_response": { "id": "chatcmpl-96mtKIDfJ8vc06YMcrJUDHiEsBILy", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- ESG Notes: A web series that discusses environmental, social, and governance issues in the investment world.\n- Nike: A multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, and accessories.\n- Theranos: A now-defunct American health technology company that claimed to have developed a blood-testing technology capable of revolutionizing the industry.\n- Guy Callendar: A British engineer and steam technologist who made significant contributions to the field of climate change research, particularly in establishing the link between carbon dioxide emissions and global warming. \n- Ocean Bonds: Financial instruments designed to fund marine conservation and sustainability projects.\n- The Long Swim: A term referring to a long-distance swimming challenge undertaken by individuals or teams, often to raise awareness or funds for a charitable cause." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 159, "promptTokens": 185, "totalTokens": 344 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "New season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn" }, "metavars": { "": "49", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "dff0c9e9-2d6f-4b3a-82bd-713acf74eae3", "responses": [ "- @realDonaldTrump: The entity represents Donald Trump, the 45th President of the United States.\n- @Nike: The entity represents Nike, a multinational corporation that designs, manufactures, and markets athletic footwear, apparel, equipment, and accessories.\n- Nike: Same as above.\n- #JustDoIt: This hashtag is not considered an entity, as it is used as a social media campaign by Nike.\n- #StandForSomething: This hashtag is not considered an entity, as it is used as a social media campaign without a specific entity tied to it.\n- #TakeTheKnee: This hashtag is not considered an entity, as it is associated with the act of kneeling during the national anthem to protest racial injustice and police brutality. However, it doesn't represent a specific entity." ], "raw_response": { "id": "chatcmpl-96mtKBme41TACzcdhLSUITnE1Dwtl", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- @realDonaldTrump: The entity represents Donald Trump, the 45th President of the United States.\n- @Nike: The entity represents Nike, a multinational corporation that designs, manufactures, and markets athletic footwear, apparel, equipment, and accessories.\n- Nike: Same as above.\n- #JustDoIt: This hashtag is not considered an entity, as it is used as a social media campaign by Nike.\n- #StandForSomething: This hashtag is not considered an entity, as it is used as a social media campaign without a specific entity tied to it.\n- #TakeTheKnee: This hashtag is not considered an entity, as it is associated with the act of kneeling during the national anthem to protest racial injustice and police brutality. However, it doesn't represent a specific entity." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 159, "promptTokens": 125, "totalTokens": 284 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee" }, "metavars": { "": "46", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "eb2adeac-1d51-4e5e-9b0f-3899d514ac3c", "responses": [ "- entity: Joseph Randle\n description: Joseph Randle is a former American football running back who played for the Dallas Cowboys in the National Football League (NFL).\n- entity: Cowboys\n description: Cowboys is a professional American football team based in Dallas, Texas. They are a member of the National Football League (NFL).\n- entity: RB\n description: RB stands for running back, which is a position in American and Canadian football responsible for carrying the ball on rushing plays.\n- entity: Nike\n description: Nike is an American multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- entity: rape\n description: Rape is a type of sexual assault usually involving sexual intercourse or other forms of sexual penetration carried out against a person without that person's consent." ], "raw_response": { "id": "chatcmpl-96mtKdCXq538TItfw3K56DON78wk2", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Joseph Randle\n description: Joseph Randle is a former American football running back who played for the Dallas Cowboys in the National Football League (NFL).\n- entity: Cowboys\n description: Cowboys is a professional American football team based in Dallas, Texas. They are a member of the National Football League (NFL).\n- entity: RB\n description: RB stands for running back, which is a position in American and Canadian football responsible for carrying the ball on rushing plays.\n- entity: Nike\n description: Nike is an American multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- entity: rape\n description: Rape is a type of sexual assault usually involving sexual intercourse or other forms of sexual penetration carried out against a person without that person's consent." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 166, "promptTokens": 129, "totalTokens": 295 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb" }, "metavars": { "": "39", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "6bc1a2ec-1b42-448e-9845-d2fd36d793d9", "responses": [ "- Washington Post: A major American daily newspaper published in Washington, D.C.\n- Kap: There is no known person or entity matching \"Kap\" in a knowledge base.\n- Just Do It: A motivational slogan by Nike, the sportswear brand.\n- Nike: A multinational corporation that designs, manufactures, and markets footwear, apparel, equipment, accessories, and services.\n- UNITED: There is no known person or entity matching \"UNITED\" in a knowledge base.\n- DJT: The initials of Donald J. Trump, the 45th President of the United States.\n- US: The United States of America, a country in North America.\n- Blue Wave 2018: A political term used to describe the predicted increase in Democratic Party votes and electoral victories in the 2018 United States elections." ], "raw_response": { "id": "chatcmpl-96mtKsJBcZgyO1c3Rrdc35MOxn2JZ", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Washington Post: A major American daily newspaper published in Washington, D.C.\n- Kap: There is no known person or entity matching \"Kap\" in a knowledge base.\n- Just Do It: A motivational slogan by Nike, the sportswear brand.\n- Nike: A multinational corporation that designs, manufactures, and markets footwear, apparel, equipment, accessories, and services.\n- UNITED: There is no known person or entity matching \"UNITED\" in a knowledge base.\n- DJT: The initials of Donald J. Trump, the 45th President of the United States.\n- US: The United States of America, a country in North America.\n- Blue Wave 2018: A political term used to describe the predicted increase in Democratic Party votes and electoral victories in the 2018 United States elections." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 166, "promptTokens": 129, "totalTokens": 295 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018" }, "metavars": { "": "64", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "39a3d0c0-e892-4a50-ba6e-5386ac8b729c", "responses": [ "- socialism: a political and economic theory advocating for collective ownership and control of the means of production and distribution in a society\n- JustDoIt: a branding slogan famously used by the sportswear company Nike to encourage action and determination\n- the greatest thing ever: a phrase with no specific entity mentioned\n- Truth: a concept that refers to the state or quality of being in accordance with facts or reality\n- kaga2018: a hashtag likely related to a political event or campaign, no specific entity found\n- kag2020: a hashtag likely related to a political event or campaign, no specific entity found\n- Maga: an acronym that stands for \"Make America Great Again,\" a political campaign slogan associated with Donald Trump\n- FakeNews: a term used to describe disinformation or false news presented as legitimate journalism" ], "raw_response": { "id": "chatcmpl-96mtKpcgaQZIhJJbS0ewDYDjqqqfx", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- socialism: a political and economic theory advocating for collective ownership and control of the means of production and distribution in a society\n- JustDoIt: a branding slogan famously used by the sportswear company Nike to encourage action and determination\n- the greatest thing ever: a phrase with no specific entity mentioned\n- Truth: a concept that refers to the state or quality of being in accordance with facts or reality\n- kaga2018: a hashtag likely related to a political event or campaign, no specific entity found\n- kag2020: a hashtag likely related to a political event or campaign, no specific entity found\n- Maga: an acronym that stands for \"Make America Great Again,\" a political campaign slogan associated with Donald Trump\n- FakeNews: a term used to describe disinformation or false news presented as legitimate journalism" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 169, "promptTokens": 171, "totalTokens": 340 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J" }, "metavars": { "": "16", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "86d99bc8-dfc8-4d2c-8ee6-499a5bc7f551", "responses": [ "- @JWKeady: activist and writer\n- @Kaepernick7: American football player and social justice activist\n- @KillerMike: American rapper, actor, and activist\n- @tmorello: American musician, activist, and songwriter\n- Nike: multinational corporation specializing in the design, manufacturing, and sale of footwear, apparel, and accessories\n- JustDoIt: Nike's slogan encouraging people to push their limits and achieve their goals\n- TakeAKnee: a form of protest against racial inequality and police violence, popularized by Colin Kaepernick\n- American: a citizen or inhabitant of the United States of America\n- injustice: lack of fairness or justice in a situation or system\n- forefathers: ancestors or predecessors, especially those of the past in relation to the founding or early history of a particular country or organization" ], "raw_response": { "id": "chatcmpl-96mtKAyU48BSPrkeTBtvZz3USLonr", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- @JWKeady: activist and writer\n- @Kaepernick7: American football player and social justice activist\n- @KillerMike: American rapper, actor, and activist\n- @tmorello: American musician, activist, and songwriter\n- Nike: multinational corporation specializing in the design, manufacturing, and sale of footwear, apparel, and accessories\n- JustDoIt: Nike's slogan encouraging people to push their limits and achieve their goals\n- TakeAKnee: a form of protest against racial inequality and police violence, popularized by Colin Kaepernick\n- American: a citizen or inhabitant of the United States of America\n- injustice: lack of fairness or justice in a situation or system\n- forefathers: ancestors or predecessors, especially those of the past in relation to the founding or early history of a particular country or organization" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 174, "promptTokens": 184, "totalTokens": 358 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;" }, "metavars": { "": "70", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThis is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThis is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "5fcf8934-ee74-47dd-a6c7-b70cc9222eb1", "responses": [ "- Nike: Nike is an American multinational corporation that designs, manufactures, and sells athletic shoes, clothing, and other sports equipment.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football quarterback who played in the National Football League (NFL). He gained attention for protesting against racial injustice and police brutality by kneeling during the national anthem.\n- America: America, also known as the United States of America, is a country located in North America. It is comprised of 50 states, a federal district, and various territories.\n- NFL: The National Football League (NFL) is the professional American football league in the United States.\n- Stevie Wonder: Stevie Wonder, born Stevland Hardaway Morris, is an American singer, songwriter, musician, and record producer. He is known for his soulful voice and has won numerous awards for his contributions to the music industry." ], "raw_response": { "id": "chatcmpl-96mtKugLC3zR40eNQHandksX20zzE", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is an American multinational corporation that designs, manufactures, and sells athletic shoes, clothing, and other sports equipment.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football quarterback who played in the National Football League (NFL). He gained attention for protesting against racial injustice and police brutality by kneeling during the national anthem.\n- America: America, also known as the United States of America, is a country located in North America. It is comprised of 50 states, a federal district, and various territories.\n- NFL: The National Football League (NFL) is the professional American football league in the United States.\n- Stevie Wonder: Stevie Wonder, born Stevland Hardaway Morris, is an American singer, songwriter, musician, and record producer. He is known for his soulful voice and has won numerous awards for his contributions to the music industry." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 177, "promptTokens": 144, "totalTokens": 321 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "This is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd" }, "metavars": { "": "88", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nMr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nMr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "3e2a077a-7bfa-433d-8de2-b005c82fd87a", "responses": [ "- Mr: The term \"Mr\" is a common honorific used to address a man.\n- MitchMcConnell: Mitch McConnell is an American politician serving as the senior United States senator from Kentucky.\n- SenateMajLdr: The term \"SenateMajLdr\" is an abbreviation often used to refer to the Senate Majority Leader in the United States Senate.\n- GOP: The GOP, or Grand Old Party, is a nickname for the Republican Party in the United States.\n- presObama: \"presObama\" is likely a reference to Barack Obama, the 44th President of the United States.\n- Niki: There is no information available about an entity referred to as \"Niki\" in a knowledge base.\n- Kaepernick: Kaepernick likely refers to Colin Kaepernick, a former professional American football player known for his controversial protests during the national anthem.\n- JustDoIt: \"Just Do It\" is a well-known tagline used by the sportswear brand Nike." ], "raw_response": { "id": "chatcmpl-96mtKdl15NbcSdInmRcHSeTGuSjpW", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Mr: The term \"Mr\" is a common honorific used to address a man.\n- MitchMcConnell: Mitch McConnell is an American politician serving as the senior United States senator from Kentucky.\n- SenateMajLdr: The term \"SenateMajLdr\" is an abbreviation often used to refer to the Senate Majority Leader in the United States Senate.\n- GOP: The GOP, or Grand Old Party, is a nickname for the Republican Party in the United States.\n- presObama: \"presObama\" is likely a reference to Barack Obama, the 44th President of the United States.\n- Niki: There is no information available about an entity referred to as \"Niki\" in a knowledge base.\n- Kaepernick: Kaepernick likely refers to Colin Kaepernick, a former professional American football player known for his controversial protests during the national anthem.\n- JustDoIt: \"Just Do It\" is a well-known tagline used by the sportswear brand Nike." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 198, "promptTokens": 134, "totalTokens": 332 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Mr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt" }, "metavars": { "": "44", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "d1d0be1f-6d1c-4189-8e53-30746e2aa187", "responses": [ "- @realDonaldTrump: Donald Trump, the 45th President of the United States.\n- NFL: National Football League, the professional American football league.\n- Nike: Nike, Inc., an American multinational corporation specializing in sportswear and footwear.\n- Kaepernick: Colin Kaepernick, a former NFL player known for his protests against racial injustice and police brutality.\n- Blackballed: The act of excluding someone, in this case, from the NFL, due to their actions or beliefs.\n- NikeStrong: A hashtag associated with Nike's advertising campaign promoting strength and resilience.\n- JustDoIt: A tagline used by Nike to encourage people to take action and pursue their goals.\n- TeamNike: A term used to refer to individuals who support and identify with the Nike brand.\n- ImWithKap: A hashtag used to show support for Colin Kaepernick and his activism." ], "raw_response": { "id": "chatcmpl-96mtKaEdBEXH3rPHjblWL1Pl2zpup", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- @realDonaldTrump: Donald Trump, the 45th President of the United States.\n- NFL: National Football League, the professional American football league.\n- Nike: Nike, Inc., an American multinational corporation specializing in sportswear and footwear.\n- Kaepernick: Colin Kaepernick, a former NFL player known for his protests against racial injustice and police brutality.\n- Blackballed: The act of excluding someone, in this case, from the NFL, due to their actions or beliefs.\n- NikeStrong: A hashtag associated with Nike's advertising campaign promoting strength and resilience.\n- JustDoIt: A tagline used by Nike to encourage people to take action and pursue their goals.\n- TeamNike: A term used to refer to individuals who support and identify with the Nike brand.\n- ImWithKap: A hashtag used to show support for Colin Kaepernick and his activism." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "low", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 174, "promptTokens": 164, "totalTokens": 338 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap" }, "metavars": { "": "27", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nI’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nI’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "24b1e38b-90dc-420e-878b-ce763825a830", "responses": [ "- entity: JustDoIt\n description: Nike's slogan, used in various contexts including this tweet.\n- entity: Left\n description: A political term referring to people or groups with liberal or progressive ideologies.\n- entity: Donald Trump\n description: The 45th President of the United States.\n- entity: American Patriots\n description: Referring to individuals who strongly support and defend the values and ideals of the United States.\n- entity: POTUS\n description: Acronym for \"President of the United States,\" referring to the current president in office.\n- entity: VoteRedToSaveAmerica\n description: A campaign slogan urging individuals to vote for Republican candidates as a way to protect or improve the nation.\n- entity: VoteRed2018\n description: Refers to a campaign initiative encouraging people to vote for Republican candidates in the 2018 elections." ], "raw_response": { "id": "chatcmpl-96mtKlt7eA0RyVO2ItDUiVkZxgWWM", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: JustDoIt\n description: Nike's slogan, used in various contexts including this tweet.\n- entity: Left\n description: A political term referring to people or groups with liberal or progressive ideologies.\n- entity: Donald Trump\n description: The 45th President of the United States.\n- entity: American Patriots\n description: Referring to individuals who strongly support and defend the values and ideals of the United States.\n- entity: POTUS\n description: Acronym for \"President of the United States,\" referring to the current president in office.\n- entity: VoteRedToSaveAmerica\n description: A campaign slogan urging individuals to vote for Republican candidates as a way to protect or improve the nation.\n- entity: VoteRed2018\n description: Refers to a campaign initiative encouraging people to vote for Republican candidates in the 2018 elections." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 180, "promptTokens": 182, "totalTokens": 362 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "I’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l" }, "metavars": { "": "18", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "7efcfd9e-0992-43d8-83b8-57d58dde51e7", "responses": [ "- @Kaepernick7: Colin Kaepernick is a former professional American football quarterback known for his activism against racial injustice and police brutality. He gained widespread attention when he kneeled during the national anthem in protest during NFL games.\n- @Nike: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories. It is one of the world's largest suppliers of athletic shoes and apparel and is known for its \"Just Do It\" slogan.\n- #LOVE_YOURSELF: This is a hashtag associated with the self-love and self-acceptance movement, encouraging individuals to embrace their uniqueness and value themselves.\n- #BelieveInYourself: This is a hashtag promoting confidence and self-belief, encouraging individuals to have faith in their abilities and pursue their goals.\n- #JustDoIt: This is the iconic slogan of Nike, representing the idea of taking action and pursuing one's dreams without hesitation.\n- #EqualityforAll: This is a hashtag associated with promoting equality and equal rights for everyone, regardless of their race, gender, or background.\n- #CompassionforAll: This is a hashtag associated with promoting empathy, understanding, and compassion towards all individuals, encouraging kindness and acceptance." ], "raw_response": { "id": "chatcmpl-96mtKLPG4HrrZAT4GEbmVyPonE4kV", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- @Kaepernick7: Colin Kaepernick is a former professional American football quarterback known for his activism against racial injustice and police brutality. He gained widespread attention when he kneeled during the national anthem in protest during NFL games.\n- @Nike: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories. It is one of the world's largest suppliers of athletic shoes and apparel and is known for its \"Just Do It\" slogan.\n- #LOVE_YOURSELF: This is a hashtag associated with the self-love and self-acceptance movement, encouraging individuals to embrace their uniqueness and value themselves.\n- #BelieveInYourself: This is a hashtag promoting confidence and self-belief, encouraging individuals to have faith in their abilities and pursue their goals.\n- #JustDoIt: This is the iconic slogan of Nike, representing the idea of taking action and pursuing one's dreams without hesitation.\n- #EqualityforAll: This is a hashtag associated with promoting equality and equal rights for everyone, regardless of their race, gender, or background.\n- #CompassionforAll: This is a hashtag associated with promoting empathy, understanding, and compassion towards all individuals, encouraging kindness and acceptance." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 251, "promptTokens": 140, "totalTokens": 391 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll" }, "metavars": { "": "65", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nAll Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nAll Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "d6712c5f-2bf5-4f73-b236-ee49f87a6e3d", "responses": [ "- Protest: A form of expressing public disapproval or opposition to something.\n- Progress: The process of improving or developing something over time.\n- One For All: A phrase emphasizing the unity and collective effort of a group of people.\n- Efforts: Actions or attempts made to achieve a goal or desired outcome.\n- People: Human beings, considered collectively or in general.\n- History: The study of past events, particularly in human affairs.\n- Kapernick: Referring to Colin Kaepernick, an American football quarterback known for his activism.\n- Just Do It: A slogan used by Nike to encourage taking action without hesitation.\n- Nike: A multinational corporation specializing in the design, manufacturing, and marketing of footwear and sports apparel.\n- Nike Football: A specific division within Nike focusing on football (soccer) related products and initiatives.\n- OWN TV: Referring to the Oprah Winfrey Network, a television channel founded by Oprah Winfrey.\n- The Ellen Show: A daytime television talk show hosted by Ellen DeGeneres.\n- BET News: The news division of Black Entertainment Television (BET), providing news coverage and analysis focused on African-American perspectives.\n- Be You: An expression encouraging individuality and authenticity.\n- Smile: The facial expression formed by flexing the muscles near the mouth, often indicating happiness or amusement." ], "raw_response": { "id": "chatcmpl-96mtKvxs9WwbZfNh1xrSVL3TtJHRk", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Protest: A form of expressing public disapproval or opposition to something.\n- Progress: The process of improving or developing something over time.\n- One For All: A phrase emphasizing the unity and collective effort of a group of people.\n- Efforts: Actions or attempts made to achieve a goal or desired outcome.\n- People: Human beings, considered collectively or in general.\n- History: The study of past events, particularly in human affairs.\n- Kapernick: Referring to Colin Kaepernick, an American football quarterback known for his activism.\n- Just Do It: A slogan used by Nike to encourage taking action without hesitation.\n- Nike: A multinational corporation specializing in the design, manufacturing, and marketing of footwear and sports apparel.\n- Nike Football: A specific division within Nike focusing on football (soccer) related products and initiatives.\n- OWN TV: Referring to the Oprah Winfrey Network, a television channel founded by Oprah Winfrey.\n- The Ellen Show: A daytime television talk show hosted by Ellen DeGeneres.\n- BET News: The news division of Black Entertainment Television (BET), providing news coverage and analysis focused on African-American perspectives.\n- Be You: An expression encouraging individuality and authenticity.\n- Smile: The facial expression formed by flexing the muscles near the mouth, often indicating happiness or amusement." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 267, "promptTokens": 192, "totalTokens": 459 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "All Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om" }, "metavars": { "": "99", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "7064f80d-c007-4f07-9ffb-15b1dc3c8a9b", "responses": [ "- beerscouts: There is no known entity or person with the name \"beerscouts\" in a knowledge base like Wikipedia.\n- LindseyGrahamSC: Lindsey Graham is a United States Senator from South Carolina.\n- SenatorCollins: Susan Collins is a United States Senator from Maine.\n- JeffFlake: Jeff Flake is a former United States Senator from Arizona.\n- marcorubio: Marco Rubio is a United States Senator from Florida.\n- SenSasse: Ben Sasse is a United States Senator from Nebraska.\n- SenatorIsakson: Johnny Isakson is a former United States Senator from Georgia.\n- sendavidperdue: David Perdue is a former United States Senator from Georgia.\n- senrobportman: Rob Portman is a former United States Senator from Ohio.\n- SenBobCorker: Bob Corker is a former United States Senator from Tennessee.\n- lisamurkowski: Lisa Murkowski is a United States Senator from Alaska.\n- RepErikPaulsen: Erik Paulsen is a former United States Representative from Minnesota.\n- SenatorLankford: James Lankford is a United States Senator from Oklahoma.\n- SenatorBurr: Richard Burr is a United States Senator from North Carolina.\n- BillCassidy: Bill Cassidy is a United States Senator from Louisiana.\n- SenPatRoberts: Pat Roberts is a former United States Senator from Kansas." ], "raw_response": { "id": "chatcmpl-96mtKfUrrn7SiaEGHNzEl2IsUacll", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- beerscouts: There is no known entity or person with the name \"beerscouts\" in a knowledge base like Wikipedia.\n- LindseyGrahamSC: Lindsey Graham is a United States Senator from South Carolina.\n- SenatorCollins: Susan Collins is a United States Senator from Maine.\n- JeffFlake: Jeff Flake is a former United States Senator from Arizona.\n- marcorubio: Marco Rubio is a United States Senator from Florida.\n- SenSasse: Ben Sasse is a United States Senator from Nebraska.\n- SenatorIsakson: Johnny Isakson is a former United States Senator from Georgia.\n- sendavidperdue: David Perdue is a former United States Senator from Georgia.\n- senrobportman: Rob Portman is a former United States Senator from Ohio.\n- SenBobCorker: Bob Corker is a former United States Senator from Tennessee.\n- lisamurkowski: Lisa Murkowski is a United States Senator from Alaska.\n- RepErikPaulsen: Erik Paulsen is a former United States Representative from Minnesota.\n- SenatorLankford: James Lankford is a United States Senator from Oklahoma.\n- SenatorBurr: Richard Burr is a United States Senator from North Carolina.\n- BillCassidy: Bill Cassidy is a United States Senator from Louisiana.\n- SenPatRoberts: Pat Roberts is a former United States Senator from Kansas." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 285, "promptTokens": 182, "totalTokens": 467 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit" }, "metavars": { "": "94", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nOne Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nOne Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "afd36704-6c35-4cdf-85ab-e010d49b8099", "responses": [ "- Shaquem Griffin: Shaquem Alphonso Griffin is an American football linebacker for the Seattle Seahawks of the National Football League (NFL). He is known for his inspirational story and determination to succeed in spite of having only one hand.\n- Seattle Seahawks: The Seattle Seahawks are a professional American football team based in Seattle, Washington. They are a member of the National Football League (NFL) and compete in the league's National Football Conference (NFC) West division.\n- Nike: Nike, Inc. is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- NFL (National Football League): The National Football League (NFL) is a professional American football league consisting of 32 teams, divided equally between the National Football Conference (NFC) and the American Football Conference (AFC). It is one of the four major professional sports leagues in North America.\n- Just Do It: \"Just Do It\" is a trademark and slogan of Nike, a famous global sportswear and equipment company. It has become widely recognized and associated with Nike's brand and marketing campaigns.\n- Twitter URL: https://t.co/0EbEmwULLF and https://t.co/pr8eosDZS7 are URLs for the tweet and its image, respectively. They are not specific entities and do not require descriptions." ], "raw_response": { "id": "chatcmpl-96mtKI1dzODtfRDpoeJl8JwuDObtg", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Shaquem Griffin: Shaquem Alphonso Griffin is an American football linebacker for the Seattle Seahawks of the National Football League (NFL). He is known for his inspirational story and determination to succeed in spite of having only one hand.\n- Seattle Seahawks: The Seattle Seahawks are a professional American football team based in Seattle, Washington. They are a member of the National Football League (NFL) and compete in the league's National Football Conference (NFC) West division.\n- Nike: Nike, Inc. is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- NFL (National Football League): The National Football League (NFL) is a professional American football league consisting of 32 teams, divided equally between the National Football Conference (NFC) and the American Football Conference (AFC). It is one of the four major professional sports leagues in North America.\n- Just Do It: \"Just Do It\" is a trademark and slogan of Nike, a famous global sportswear and equipment company. It has become widely recognized and associated with Nike's brand and marketing campaigns.\n- Twitter URL: https://t.co/0EbEmwULLF and https://t.co/pr8eosDZS7 are URLs for the tweet and its image, respectively. They are not specific entities and do not require descriptions." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 288, "promptTokens": 154, "totalTokens": 442 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "One Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7" }, "metavars": { "": "4", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "1598715d-bcac-4d54-b46a-32ace28fe539", "responses": [ "- Nike: Nike is an American multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories.\n- NBC: NBC, an acronym for the National Broadcasting Company, is an American commercial terrestrial television network.\n- CNN: CNN, an acronym for the Cable News Network, is an American news-based pay television channel owned by WarnerMedia News & Sports, a division of AT&T's WarnerMedia.\n- Colin Kaepernick: Colin Kaepernick is a former American football quarterback who gained national attention for his protests against racial injustice and police brutality by kneeling during the national anthem.\n- Football: Football, also known as soccer, is a team sport played with a spherical ball between two teams of eleven players. It is the world's most popular sport.\n- Viral: Viral refers to content, typically in the form of videos, images, or posts, that quickly spreads and becomes widely popular on the internet.\n- Marketing: Marketing refers to the activities a company undertakes to promote the buying, selling, and use of its products or services.\n- Jesus: Jesus is a central figure in Christianity, believed to be the Son of God and the savior of humanity.\n- NikeShoes: NikeShoes refers to the range of footwear produced by the company Nike.\n- Believe: Believe is a verb that means to have faith in or accept something as true, often used to express conviction or trust in a particular idea or concept." ], "raw_response": { "id": "chatcmpl-96mtKU1HVY5LOhguWHmSmHWFBsaIr", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is an American multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories.\n- NBC: NBC, an acronym for the National Broadcasting Company, is an American commercial terrestrial television network.\n- CNN: CNN, an acronym for the Cable News Network, is an American news-based pay television channel owned by WarnerMedia News & Sports, a division of AT&T's WarnerMedia.\n- Colin Kaepernick: Colin Kaepernick is a former American football quarterback who gained national attention for his protests against racial injustice and police brutality by kneeling during the national anthem.\n- Football: Football, also known as soccer, is a team sport played with a spherical ball between two teams of eleven players. It is the world's most popular sport.\n- Viral: Viral refers to content, typically in the form of videos, images, or posts, that quickly spreads and becomes widely popular on the internet.\n- Marketing: Marketing refers to the activities a company undertakes to promote the buying, selling, and use of its products or services.\n- Jesus: Jesus is a central figure in Christianity, believed to be the Son of God and the savior of humanity.\n- NikeShoes: NikeShoes refers to the range of footwear produced by the company Nike.\n- Believe: Believe is a verb that means to have faith in or accept something as true, often used to express conviction or trust in a particular idea or concept." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 294, "promptTokens": 170, "totalTokens": 464 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL" }, "metavars": { "": "68", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "0e46fca5-a11e-4b8a-9e9e-67623305d619", "responses": [ "- MissAmerica: A beauty pageant held annually since 1921 to select an ambassador for the Miss America Organization.\n- JobsReport: A report usually released by the U.S. Bureau of Labor Statistics that provides information about the employment situation.\n- Nike: An American multinational corporation that designs, develops, and manufactures athletic footwear, apparel, accessories, and equipment.\n- GOT7: A South Korean boy band formed by JYP Entertainment that debuted in 2014.\n- JustDoIt: The iconic tagline of Nike, often associated with inspiring people to take action and overcome obstacles.\n- FEMA: The Federal Emergency Management Agency, an agency of the United States Department of Homeland Security that aims to coordinate response efforts to disasters.\n- TV3GH: A Ghanaian free-to-air television network owned by Media General.\n- SpiderMan: A fictional superhero created by writer Stan Lee and artist Steve Ditko, known for his spider-like abilities and appearances in Marvel Comics.\n- KaepernickNikeAd: A controversial advertising campaign by Nike featuring American football quarterback Colin Kaepernick, known for protesting against racial injustice.\n- MudaSuksesMenang: A phrase in Indonesian language that means \"Less effort, more wins\" or \"Work smarter, not harder.\"\n- FridayFeeling: A hashtag commonly used on social media to express excitement or enthusiasm towards the upcoming weekend.\n- NationalBeerLoversDay: An unofficial holiday celebrated on September 7th in the United States to honor and appreciate beer enthusiasts.\n- EminemvsMGK: A reference to the feud between the American rappers Eminem and Machine Gun Kelly, known for their diss tracks targeting each other.\n- Nas: An American rapper and songwriter, known for his influential albums and contributions to the hip hop industry.\n- Kelis: An American singer, songwriter, and chef, known for her hit songs and collaborations in the music industry.\n- Kanye: A reference to the American rapper and producer Kanye West, known for his innovative music and controversial public persona.\n- INDRAKETUJUHEPS38: It does not correspond to a known entity in the knowledge base." ], "raw_response": { "id": "chatcmpl-96mtKwGrU8fjki0BVRSjWMOnRrQTj", "created": "1970-01-20T19:23:24.934Z", "choices": [ { "message": { "role": "assistant", "content": "- MissAmerica: A beauty pageant held annually since 1921 to select an ambassador for the Miss America Organization.\n- JobsReport: A report usually released by the U.S. Bureau of Labor Statistics that provides information about the employment situation.\n- Nike: An American multinational corporation that designs, develops, and manufactures athletic footwear, apparel, accessories, and equipment.\n- GOT7: A South Korean boy band formed by JYP Entertainment that debuted in 2014.\n- JustDoIt: The iconic tagline of Nike, often associated with inspiring people to take action and overcome obstacles.\n- FEMA: The Federal Emergency Management Agency, an agency of the United States Department of Homeland Security that aims to coordinate response efforts to disasters.\n- TV3GH: A Ghanaian free-to-air television network owned by Media General.\n- SpiderMan: A fictional superhero created by writer Stan Lee and artist Steve Ditko, known for his spider-like abilities and appearances in Marvel Comics.\n- KaepernickNikeAd: A controversial advertising campaign by Nike featuring American football quarterback Colin Kaepernick, known for protesting against racial injustice.\n- MudaSuksesMenang: A phrase in Indonesian language that means \"Less effort, more wins\" or \"Work smarter, not harder.\"\n- FridayFeeling: A hashtag commonly used on social media to express excitement or enthusiasm towards the upcoming weekend.\n- NationalBeerLoversDay: An unofficial holiday celebrated on September 7th in the United States to honor and appreciate beer enthusiasts.\n- EminemvsMGK: A reference to the feud between the American rappers Eminem and Machine Gun Kelly, known for their diss tracks targeting each other.\n- Nas: An American rapper and songwriter, known for his influential albums and contributions to the hip hop industry.\n- Kelis: An American singer, songwriter, and chef, known for her hit songs and collaborations in the music industry.\n- Kanye: A reference to the American rapper and producer Kanye West, known for his innovative music and controversial public persona.\n- INDRAKETUJUHEPS38: It does not correspond to a known entity in the knowledge base." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 427, "promptTokens": 197, "totalTokens": 624 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP" }, "metavars": { "": "32", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities. All entities should be found in a knowledge base like Wikipedia, so don't make up entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nMy favorites so far #JustDoIt https://t.co/zY7VDa5Q0X\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nMy favorites so far #JustDoIt https://t.co/zY7VDa5Q0X\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "6697ee88-dfbc-4d80-be1a-314da458ab7e", "responses": [ "- JustDoIt: a slogan used by the sports apparel company Nike" ], "raw_response": { "id": "chatcmpl-96mu12pXJcttm9T8nsni1UpcDJEJx", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- JustDoIt: a slogan used by the sports apparel company Nike" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 14, "promptTokens": 120, "totalTokens": 134 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "My favorites so far #JustDoIt https://t.co/zY7VDa5Q0X" }, "metavars": { "": "10", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nPure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nPure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "afe6d480-084a-4572-953c-ce65e155d979", "responses": [ "- Larry Elder: an American radio personality, author, and politician" ], "raw_response": { "id": "chatcmpl-96mu1oplDkZVr3t1HDaLxBNi0Oziw", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Larry Elder: an American radio personality, author, and politician" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 13, "promptTokens": 161, "totalTokens": 174 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Pure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA" }, "metavars": { "": "47", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNow this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNow this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "fd813d6a-6a7e-4a9c-93ce-cd15ef439099", "responses": [ "- POTUS: The President of the United States of America." ], "raw_response": { "id": "chatcmpl-96mu1uyEzqphJ4KVP3OrbD6iQiUIT", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- POTUS: The President of the United States of America." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 13, "promptTokens": 152, "totalTokens": 165 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Now this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg" }, "metavars": { "": "83", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nLooking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nLooking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "96f2f000-2953-4236-971a-e15f345bfe0c", "responses": [ "- Just Do It: a motivational slogan and iconic trademark of the sportswear company Nike." ], "raw_response": { "id": "chatcmpl-96mu1VXdrKXn1n2AQjbWHgErRcVY0", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Just Do It: a motivational slogan and iconic trademark of the sportswear company Nike." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 19, "promptTokens": 129, "totalTokens": 148 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Looking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd" }, "metavars": { "": "77", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNo one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNo one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "70dbc5c0-c858-477a-9a7d-6c98ec7ed541", "responses": [ "- Kobe Bryant: Kobe Bryant is a former professional basketball player who played for the Los Angeles Lakers in the NBA." ], "raw_response": { "id": "chatcmpl-96mu1EmJ9mK8A0ZPfPVB0qx2rO9r5", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Kobe Bryant: Kobe Bryant is a former professional basketball player who played for the Los Angeles Lakers in the NBA." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 23, "promptTokens": 130, "totalTokens": 153 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "No one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n" }, "metavars": { "": "91", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "79a1ff74-fc18-4455-b935-020ab6e73d8e", "responses": [ "- @realDonaldTrump: A Twitter handle referring to the official account of Donald Trump, the 45th President of the United States and businessman.\n- Nike: A multinational corporation specializing in the manufacturing and marketing of athletic footwear, apparel, equipment, and accessories." ], "raw_response": { "id": "chatcmpl-96mu10qRApxjIILgB0YrtkeISEzzw", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- @realDonaldTrump: A Twitter handle referring to the official account of Donald Trump, the 45th President of the United States and businessman.\n- Nike: A multinational corporation specializing in the manufacturing and marketing of athletic footwear, apparel, equipment, and accessories." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 51, "promptTokens": 123, "totalTokens": 174 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT" }, "metavars": { "": "5", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c801de98-0229-410b-a019-7fc824ca9048", "responses": [ "- @realDonaldTrump: The Twitter handle of Donald Trump, the 45th President of the United States.\n- President Trump: Referring to Donald Trump, the 45th President of the United States." ], "raw_response": { "id": "chatcmpl-96mu1joKVC14AkPzfdnzAPCNgyopB", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- @realDonaldTrump: The Twitter handle of Donald Trump, the 45th President of the United States.\n- President Trump: Referring to Donald Trump, the 45th President of the United States." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 41, "promptTokens": 189, "totalTokens": 230 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5" }, "metavars": { "": "67", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nShout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nShout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "41db602d-3118-4432-bca3-a723fe19363b", "responses": [ "- Great Fire Department: The Great Fire Department refers to a fire department known for its exceptional service and dedication.\n- tour: In this context, \"tour\" seems to refer to a group or team associated with the fire department, possibly engaged in visiting different locations for various purposes." ], "raw_response": { "id": "chatcmpl-96mu1vSGc4yhPUjycJIhE1JTiPESQ", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Great Fire Department: The Great Fire Department refers to a fire department known for its exceptional service and dedication.\n- tour: In this context, \"tour\" seems to refer to a group or team associated with the fire department, possibly engaged in visiting different locations for various purposes." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 56, "promptTokens": 206, "totalTokens": 262 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Shout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo" }, "metavars": { "": "1", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYou knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYou knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "657b0d8a-a447-46a3-a900-0b6df9ce7494", "responses": [ "- Michael Jackson: A legendary American singer, songwriter, and dancer, known as the \"King of Pop.\" He was one of the most influential and celebrated entertainers of all time." ], "raw_response": { "id": "chatcmpl-96mu1g0tDpa5ALvW3JN0cAYKK7ZfS", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Michael Jackson: A legendary American singer, songwriter, and dancer, known as the \"King of Pop.\" He was one of the most influential and celebrated entertainers of all time." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 37, "promptTokens": 134, "totalTokens": 171 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "You knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo" }, "metavars": { "": "74", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "342013b3-be75-4a06-8010-d6c7d003dfeb", "responses": [ "- @realDonaldTrump: Donald Trump, the 45th President of the United States.\n- @ColinKaperneck7: Colin Kaepernick, an American football quarterback known for his social activism and protests against racial injustice during the national anthem." ], "raw_response": { "id": "chatcmpl-96mu18YL4qSShiiYEX1zYYQ1bTQOb", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- @realDonaldTrump: Donald Trump, the 45th President of the United States.\n- @ColinKaperneck7: Colin Kaepernick, an American football quarterback known for his social activism and protests against racial injustice during the national anthem." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 48, "promptTokens": 134, "totalTokens": 182 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt" }, "metavars": { "": "13", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDream Big & #Justdoit! https://t.co/Vr4GIyGsoj\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDream Big & #Justdoit! https://t.co/Vr4GIyGsoj\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "a411ae6b-0a52-4960-ad06-2df9bb502eae", "responses": [ "- Dream Big - This entity refers to a motivational quote or phrase that encourages people to set ambitious goals and aim high in life.\n- Justdoit - This entity represents a slogan used by the famous sportswear brand Nike to inspire individuals to take action and pursue their dreams and aspirations." ], "raw_response": { "id": "chatcmpl-96mu1nGmDvbzv4GYjFP1c08rTYK04", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Dream Big - This entity refers to a motivational quote or phrase that encourages people to set ambitious goals and aim high in life.\n- Justdoit - This entity represents a slogan used by the famous sportswear brand Nike to inspire individuals to take action and pursue their dreams and aspirations." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 58, "promptTokens": 121, "totalTokens": 179 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Dream Big & #Justdoit! https://t.co/Vr4GIyGsoj" }, "metavars": { "": "24", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nFriday Mood #JustDoIt https://t.co/D1b8qb3m5y\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nFriday Mood #JustDoIt https://t.co/D1b8qb3m5y\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "1dedd373-dd7d-472a-a908-2f788a39678c", "responses": [ "- Friday Mood: It refers to a general feeling or state of mind on a Friday.\n- JustDoIt: It is a motivational slogan and registered trademark used by the sports apparel company Nike." ], "raw_response": { "id": "chatcmpl-96mu1BIQbrU40YN9rnV7NJ5Onr1lD", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Friday Mood: It refers to a general feeling or state of mind on a Friday.\n- JustDoIt: It is a motivational slogan and registered trademark used by the sports apparel company Nike." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 39, "promptTokens": 118, "totalTokens": 157 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Friday Mood #JustDoIt https://t.co/D1b8qb3m5y" }, "metavars": { "": "66", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDone is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDone is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "250e3f37-6354-43c2-9df3-d6a6fd9d5448", "responses": [ "- Sheryl Sandberg: Sheryl Sandberg is an American technology executive, author, and billionaire. She is best known for her role as the Chief Operating Officer (COO) of Facebook and for writing the book \"Lean In: Women, Work, and the Will to Lead\"." ], "raw_response": { "id": "chatcmpl-96mu10YUZdECG5odqeQCsYVBXHlGd", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Sheryl Sandberg: Sheryl Sandberg is an American technology executive, author, and billionaire. She is best known for her role as the Chief Operating Officer (COO) of Facebook and for writing the book \"Lean In: Women, Work, and the Will to Lead\"." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 58, "promptTokens": 131, "totalTokens": 189 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Done is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6" }, "metavars": { "": "0", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nGREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nGREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b124d52b-e06f-48b6-ae81-66d257264673", "responses": [ "- Nike: A multinational corporation that designs, manufactures, and markets athletic apparel, footwear, equipment, and accessories.\n- Kaepernick7: Colin Kaepernick, a former professional American football quarterback known for his activism and advocacy for social justice." ], "raw_response": { "id": "chatcmpl-96mu119SftNEVZXDImw7aHtdEV08h", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that designs, manufactures, and markets athletic apparel, footwear, equipment, and accessories.\n- Kaepernick7: Colin Kaepernick, a former professional American football quarterback known for his activism and advocacy for social justice." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 46, "promptTokens": 153, "totalTokens": 199 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "GREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ" }, "metavars": { "": "8", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#Justdoit Vote our & oust McGovern!\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#Justdoit Vote our & oust McGovern!\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "fc14293c-8622-4e55-9482-1444d0ae1b3d", "responses": [ "- Vote: An action taken by individuals to express their preference or support for a candidate or a particular cause.\n- McGovern: Refers to George McGovern, an American politician who was the Democratic Party's nominee for President of the United States in the 1972 election." ], "raw_response": { "id": "chatcmpl-96mu1ZHL4y0jAajXFe3vKTjP9zVD4", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Vote: An action taken by individuals to express their preference or support for a candidate or a particular cause.\n- McGovern: Refers to George McGovern, an American politician who was the Democratic Party's nominee for President of the United States in the 1972 election." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 56, "promptTokens": 112, "totalTokens": 168 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#Justdoit Vote our & oust McGovern!" }, "metavars": { "": "55", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhy be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhy be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "8f0cc32c-5b52-49dd-9922-0a353abbc02c", "responses": [ "- entity: cat\n description: A small carnivorous mammal, domesticated as a pet or for catching rats and mice.\n- entity: lion\n description: A large, muscular carnivorous mammal that belongs to the cat family. The lion is known for its majestic appearance, as well as its strength and ferocity. It is often referred to as the \"king of the jungle.\"" ], "raw_response": { "id": "chatcmpl-96mu1hJkJqnzfKlRM5Hx2aqZYp9ZX", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: cat\n description: A small carnivorous mammal, domesticated as a pet or for catching rats and mice.\n- entity: lion\n description: A large, muscular carnivorous mammal that belongs to the cat family. The lion is known for its majestic appearance, as well as its strength and ferocity. It is often referred to as the \"king of the jungle.\"" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 81, "promptTokens": 124, "totalTokens": 205 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Why be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR" }, "metavars": { "": "15", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "81a24a80-02be-4171-a8ea-79f9f76310da", "responses": [ "- Nike: It is a multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, and accessories.\n- JustDoIt: It is a slogan and motivational phrase used by Nike, encouraging people to take action and pursue their goals." ], "raw_response": { "id": "chatcmpl-96mu1gpHaTWdTo09lmgnhKAXc7cFj", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: It is a multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, and accessories.\n- JustDoIt: It is a slogan and motivational phrase used by Nike, encouraging people to take action and pursue their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 52, "promptTokens": 125, "totalTokens": 177 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2" }, "metavars": { "": "52", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYou’ve gotta WORK to make things WORK.\n\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYou’ve gotta WORK to make things WORK.\n\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "456d6a4c-f349-4baa-be6e-7ca9f24c8246", "responses": [ "- WORK: This entity refers to the concept of exerting effort and taking action to achieve desired outcomes. It can be related to various areas of work such as career, personal development, or problem-solving." ], "raw_response": { "id": "chatcmpl-96mu14DFQfwYfzHpw64yLRLdsO7WY", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- WORK: This entity refers to the concept of exerting effort and taking action to achieve desired outcomes. It can be related to various areas of work such as career, personal development, or problem-solving." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 41, "promptTokens": 112, "totalTokens": 153 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "You’ve gotta WORK to make things WORK.\n\n#JustDoIt" }, "metavars": { "": "76", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nMy kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nMy kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "40daf65a-da34-4127-a3ef-cffeb94faca4", "responses": [ "- `Justdoit`: a tagline used by Nike in their advertising campaigns to encourage people to take action and pursue their goals.\n- `Nike`: a global sports apparel and footwear brand known for its innovative designs and sponsorships with famous athletes." ], "raw_response": { "id": "chatcmpl-96mu1j7rCNmI6GMTHKiianDHzNEJx", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- `Justdoit`: a tagline used by Nike in their advertising campaigns to encourage people to take action and pursue their goals.\n- `Nike`: a global sports apparel and footwear brand known for its innovative designs and sponsorships with famous athletes." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 50, "promptTokens": 120, "totalTokens": 170 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "My kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm" }, "metavars": { "": "23", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYou are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYou are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "bded06c2-f76b-44c6-bb4d-d6923ae298d5", "responses": [ "- Adobe: a multinational computer software company known for its creation of multimedia and creativity software products.\n- Nike: an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- https://t.co/hwlxCLesVg: a shortened URL link." ], "raw_response": { "id": "chatcmpl-96mu1aEf4yfjPuoPEYKVKpCoTRp9P", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Adobe: a multinational computer software company known for its creation of multimedia and creativity software products.\n- Nike: an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- https://t.co/hwlxCLesVg: a shortened URL link." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 72, "promptTokens": 134, "totalTokens": 206 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "You are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg" }, "metavars": { "": "22", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWe out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWe out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "76d1b970-7cb4-4405-bec2-73f95dfc5bf9", "responses": [ "- Nike: a multinational corporation that designs, manufactures, and sells footwear, apparel, equipment, and accessories\n- Tanger Outlets: a chain of outlet malls offering discounted prices on brand-name merchandise\n- Grand Rapids: a city in the state of Michigan, United States" ], "raw_response": { "id": "chatcmpl-96mu1LwAK3q0BACLFlprjcXJx42wj", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation that designs, manufactures, and sells footwear, apparel, equipment, and accessories\n- Tanger Outlets: a chain of outlet malls offering discounted prices on brand-name merchandise\n- Grand Rapids: a city in the state of Michigan, United States" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 55, "promptTokens": 130, "totalTokens": 185 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "We out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg" }, "metavars": { "": "80", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "14f45436-d65a-48fb-a3b4-654c90f24c77", "responses": [ "- entity: dreams\n description: The desires, hopes, and aspirations of an individual.\n- entity: reality\n description: The state of things as they actually exist, rather than as they may appear or might be imagined.\n- entity: Just Do It\n description: The slogan of the global athletic company Nike, used to encourage individuals to take action and pursue their dreams." ], "raw_response": { "id": "chatcmpl-96mu1V9R5IbLp6KauaIHOHpr8JT09", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: dreams\n description: The desires, hopes, and aspirations of an individual.\n- entity: reality\n description: The state of things as they actually exist, rather than as they may appear or might be imagined.\n- entity: Just Do It\n description: The slogan of the global athletic company Nike, used to encourage individuals to take action and pursue their dreams." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 78, "promptTokens": 135, "totalTokens": 213 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk" }, "metavars": { "": "98", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "ac110a41-183b-47ed-801c-266a00724150", "responses": [ "- MannCup2018: A senior men's lacrosse championship held annually in Canada.\n- satolax22: A Twitter user with the username \"@satolax22\".\n- CurtisDickson17: A lacrosse player with the username \"@CurtisDickson17\"." ], "raw_response": { "id": "chatcmpl-96mu1JbiLoAUk66tEj1Dl4KLTJSxy", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- MannCup2018: A senior men's lacrosse championship held annually in Canada.\n- satolax22: A Twitter user with the username \"@satolax22\".\n- CurtisDickson17: A lacrosse player with the username \"@CurtisDickson17\"." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 58, "promptTokens": 153, "totalTokens": 211 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq" }, "metavars": { "": "41", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "2a6963df-2802-4069-aca1-fd94f3b3b6fb", "responses": [ "- @realDonaldTrump: Donald Trump is the 45th President of the United States.\n- Nike: Nike, Inc. is an American multinational corporation that designs, manufactures, and sells athletic shoes and apparel.\n- NFL: The National Football League (NFL) is a professional American football league consisting of 32 teams.\n- NikeKap: Colin Kaepernick is a former professional American football quarterback and a social justice activist." ], "raw_response": { "id": "chatcmpl-96mu1bR7WZiYfzKwViIVY0e4nFNRn", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- @realDonaldTrump: Donald Trump is the 45th President of the United States.\n- Nike: Nike, Inc. is an American multinational corporation that designs, manufactures, and sells athletic shoes and apparel.\n- NFL: The National Football League (NFL) is a professional American football league consisting of 32 teams.\n- NikeKap: Colin Kaepernick is a former professional American football quarterback and a social justice activist." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 83, "promptTokens": 137, "totalTokens": 220 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur" }, "metavars": { "": "59", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIt’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIt’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "fecb8f6a-3f1f-4eb1-a3fd-a3362ff020cb", "responses": [ "- Nike: A multinational corporation that designs, manufactures, and sells footwear, apparel, equipment, and accessories.\n- Karpernick: Colin Kaepernick, a former American football quarterback known for his activism and protests against racial injustice and police brutality." ], "raw_response": { "id": "chatcmpl-96mu1PYU7RRHHM6Dz7hUPwq81UC7Q", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that designs, manufactures, and sells footwear, apparel, equipment, and accessories.\n- Karpernick: Colin Kaepernick, a former American football quarterback known for his activism and protests against racial injustice and police brutality." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 48, "promptTokens": 127, "totalTokens": 175 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "It’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt" }, "metavars": { "": "86", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "1aff1a2b-56f4-47a9-816b-fbcfda976fdd", "responses": [ "- @RepAdamSchiff: Adam Schiff is a United States Representative who serves the 28th congressional district of California. He is a member of the Democratic Party.\n- @RepAdamSchiff: Adam Schiff is a United States Representative who serves as the Chairman of the House Intelligence Committee. He is known for his role in the impeachment proceedings against President Donald Trump.\n- SpartacAssJr: No entity found in the knowledge base" ], "raw_response": { "id": "chatcmpl-96mu1sUcIEqA7RHPRnWr1UQZlPYOK", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- @RepAdamSchiff: Adam Schiff is a United States Representative who serves the 28th congressional district of California. He is a member of the Democratic Party.\n- @RepAdamSchiff: Adam Schiff is a United States Representative who serves as the Chairman of the House Intelligence Committee. He is known for his role in the impeachment proceedings against President Donald Trump.\n- SpartacAssJr: No entity found in the knowledge base" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 88, "promptTokens": 123, "totalTokens": 211 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr" }, "metavars": { "": "14", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nCreate Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nCreate Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "ea46a80f-4ebe-4a7c-84ae-d8dd28c25168", "responses": [ "- Nike: A multinational corporation known for designing, manufacturing, and selling footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: A former American football quarterback who is known for his activism and protests against racial injustice, particularly during the national anthem.\n- Just Do It: A famous Nike slogan that encourages people to push their limits and overcome obstacles." ], "raw_response": { "id": "chatcmpl-96mu1E33oklyRaGDGgpHe80dNMHwr", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation known for designing, manufacturing, and selling footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: A former American football quarterback who is known for his activism and protests against racial injustice, particularly during the national anthem.\n- Just Do It: A famous Nike slogan that encourages people to push their limits and overcome obstacles." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 70, "promptTokens": 151, "totalTokens": 221 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Create Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A" }, "metavars": { "": "54", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "2b241c21-0e66-4f81-97fb-3d85f4e9b5c5", "responses": [ "- Nike: a multinational corporation that specializes in the design, manufacturing, and sales of footwear, apparel, equipment, and accessories.\n- Meme: refers to an idea, behavior, or style that spreads from person to person within a culture, often in the form of humorous images, videos, or text.\n- CafecitoEnergy: an energy drink brand that aims to provide consumers with a caffeine boost." ], "raw_response": { "id": "chatcmpl-96mu1nsNJduDKhVcc77zh10XPQ9C8", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation that specializes in the design, manufacturing, and sales of footwear, apparel, equipment, and accessories.\n- Meme: refers to an idea, behavior, or style that spreads from person to person within a culture, often in the form of humorous images, videos, or text.\n- CafecitoEnergy: an energy drink brand that aims to provide consumers with a caffeine boost." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 82, "promptTokens": 134, "totalTokens": 216 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Just do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG" }, "metavars": { "": "38", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThe @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThe @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "90fe305a-6755-4820-8ce9-94dabc2d5636", "responses": [ "- @elonmusk: Elon Musk is a South African-born American entrepreneur and business magnate. He is the CEO and lead designer of SpaceX, CEO and product architect of Tesla, Inc., CEO of Neuralink, and co-founder and CEO of PayPal. \n- Mindset: The term \"mindset\" refers to a set of beliefs or attitudes that shape an individual's way of thinking or approaching a particular subject or task." ], "raw_response": { "id": "chatcmpl-96mu1XTyLzBGBzlcxnvag51OBTgLV", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- @elonmusk: Elon Musk is a South African-born American entrepreneur and business magnate. He is the CEO and lead designer of SpaceX, CEO and product architect of Tesla, Inc., CEO of Neuralink, and co-founder and CEO of PayPal. \n- Mindset: The term \"mindset\" refers to a set of beliefs or attitudes that shape an individual's way of thinking or approaching a particular subject or task." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 87, "promptTokens": 124, "totalTokens": 211 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "The @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy" }, "metavars": { "": "34", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b6ba662e-11e7-4aa2-81c3-49f394f35793", "responses": [ "- Nike: a multinational corporation specializing in the design, manufacture, and sale of athletic footwear, apparel, equipment, and accessories.\n- greatlakescrossing: a shopping center located in Auburn Hills, Michigan, United States.\n- Rena: unable to determine specific person or entity based on the provided information.\n- Kap: unable to determine specific person or entity based on the provided information." ], "raw_response": { "id": "chatcmpl-96mu1jgXUno6alnAlNeFZr0t8LrS1", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation specializing in the design, manufacture, and sale of athletic footwear, apparel, equipment, and accessories.\n- greatlakescrossing: a shopping center located in Auburn Hills, Michigan, United States.\n- Rena: unable to determine specific person or entity based on the provided information.\n- Kap: unable to determine specific person or entity based on the provided information." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 78, "promptTokens": 170, "totalTokens": 248 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Just left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann" }, "metavars": { "": "40", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nSounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nSounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "7160237b-7c3f-4a23-a2d9-81b947feefc4", "responses": [ "- #JustDoIt: This is a hashtag commonly associated with the Nike brand's advertising campaign, encouraging people to take action and pursue their goals.\n- #FirstAmendment: This is a hashtag referring to the First Amendment of the United States Constitution, which guarantees the freedom of speech, freedom of the press, freedom of religion, and the right to peacefully assemble and petition the government." ], "raw_response": { "id": "chatcmpl-96mu1yK8g4ZQO9b7x9yE0CCjAhrLD", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- #JustDoIt: This is a hashtag commonly associated with the Nike brand's advertising campaign, encouraging people to take action and pursue their goals.\n- #FirstAmendment: This is a hashtag referring to the First Amendment of the United States Constitution, which guarantees the freedom of speech, freedom of the press, freedom of religion, and the right to peacefully assemble and petition the government." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 78, "promptTokens": 124, "totalTokens": 202 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Sounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu" }, "metavars": { "": "57", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n.@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n.@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "eda85290-5d4a-4a33-9edb-507a864f245f", "responses": [ "- TMZ: a celebrity news website and tabloid television program\n- Nike: a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories\n- JustDoIt: a slogan used by Nike since 1988 as a motivational phrase" ], "raw_response": { "id": "chatcmpl-96mu11TRB40592jzIpNjA6XrO8Bal", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- TMZ: a celebrity news website and tabloid television program\n- Nike: a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories\n- JustDoIt: a slogan used by Nike since 1988 as a motivational phrase" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 54, "promptTokens": 129, "totalTokens": 183 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": ".@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC" }, "metavars": { "": "96", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b71ede6f-93d1-4b67-a4d0-a1c55d8530e5", "responses": [ "- Nike: A multinational corporation that is known for manufacturing and selling athletic footwear, apparel, and sports equipment.\n- Just Do It: A trademark slogan used by Nike since 1988, often associated with the company's advertising campaigns.\n- Twitter: A social media platform that allows users to post and interact with short messages called tweets." ], "raw_response": { "id": "chatcmpl-96mu1wsSTwIZ9BpFrGQeKTIu48mEg", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that is known for manufacturing and selling athletic footwear, apparel, and sports equipment.\n- Just Do It: A trademark slogan used by Nike since 1988, often associated with the company's advertising campaigns.\n- Twitter: A social media platform that allows users to post and interact with short messages called tweets." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 67, "promptTokens": 130, "totalTokens": 197 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt" }, "metavars": { "": "7", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nYOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "bcf01f0d-4880-4042-8ac2-41736120cbfb", "responses": [ "- Bravotv: A television network known for producing reality television shows, such as \"The Real Housewives\" franchise.\n- BravoWWHL: The acronym for \"Bravo's Watch What Happens Live,\" a late-night talk show hosted by Andy Cohen on the Bravo network.\n- ParisHilton: An American socialite, TV personality, and businesswoman known for her appearances on reality shows and her involvement in the fashion and entertainment industry." ], "raw_response": { "id": "chatcmpl-96mu1Dwm0aOFQJn3j81SoTdxAA31B", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Bravotv: A television network known for producing reality television shows, such as \"The Real Housewives\" franchise.\n- BravoWWHL: The acronym for \"Bravo's Watch What Happens Live,\" a late-night talk show hosted by Andy Cohen on the Bravo network.\n- ParisHilton: An American socialite, TV personality, and businesswoman known for her appearances on reality shows and her involvement in the fashion and entertainment industry." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 91, "promptTokens": 143, "totalTokens": 234 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "YOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq" }, "metavars": { "": "28", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b5e3258b-9320-421f-bf6e-8c2b2c406334", "responses": [ "- Donald Trump: The 45th President of the United States.\n- Kim: Kim Jong-un, the Supreme Leader of North Korea.\n- Colin Kaepernick: A former American football quarterback known for his social activism and protests against racial injustice.\n- Nike: A multinational corporation known for its athletic shoes, apparel, and sporting goods.\n- Fascism: A far-right ideology characterized by dictatorial power, strong nationalism, and suppression of opposition." ], "raw_response": { "id": "chatcmpl-96mu1ekF9mwq6iC4TYUp31cSb2Qe0", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Donald Trump: The 45th President of the United States.\n- Kim: Kim Jong-un, the Supreme Leader of North Korea.\n- Colin Kaepernick: A former American football quarterback known for his social activism and protests against racial injustice.\n- Nike: A multinational corporation known for its athletic shoes, apparel, and sporting goods.\n- Fascism: A far-right ideology characterized by dictatorial power, strong nationalism, and suppression of opposition." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 88, "promptTokens": 159, "totalTokens": 247 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI" }, "metavars": { "": "37", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThose three words made all the difference. #JustDoIt https://t.co/CCrqAeINql\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThose three words made all the difference. #JustDoIt https://t.co/CCrqAeINql\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "0fc115b4-b43b-47cf-8805-a9f850df3330", "responses": [ "- Just Do It: Nike's famous slogan, used to promote their products and inspire people to take action.\n- Nike: American multinational corporation that designs, manufactures, and sells footwear, apparel, equipment, and accessories.\n- Twitter: Social media platform where users can post and interact with messages called tweets.\n- https://t.co/CCrqAeINql: A shortened URL linking to a specific webpage." ], "raw_response": { "id": "chatcmpl-96mu1LPmzPDXLOUg4mGq5Vho96KXQ", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Just Do It: Nike's famous slogan, used to promote their products and inspire people to take action.\n- Nike: American multinational corporation that designs, manufactures, and sells footwear, apparel, equipment, and accessories.\n- Twitter: Social media platform where users can post and interact with messages called tweets.\n- https://t.co/CCrqAeINql: A shortened URL linking to a specific webpage." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 83, "promptTokens": 122, "totalTokens": 205 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Those three words made all the difference. #JustDoIt https://t.co/CCrqAeINql" }, "metavars": { "": "72", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nColin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nColin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "a332a18e-4ef6-45a2-a46a-0e8bf09c120b", "responses": [ "- entity: Colin Kaepernick\n description: Colin Kaepernick is a former NFL quarterback who gained attention for kneeling during the national anthem in protest against racial injustice and police brutality.\n- entity: Nike\n description: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- entity: Wikipedia\n description: Wikipedia is a free online encyclopedia that contains information on a wide range of topics and can be accessed and edited by anyone." ], "raw_response": { "id": "chatcmpl-96mu1189laeXGhu3mHFGIwrMMuR9j", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Colin Kaepernick\n description: Colin Kaepernick is a former NFL quarterback who gained attention for kneeling during the national anthem in protest against racial injustice and police brutality.\n- entity: Nike\n description: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- entity: Wikipedia\n description: Wikipedia is a free online encyclopedia that contains information on a wide range of topics and can be accessed and edited by anyone." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 96, "promptTokens": 146, "totalTokens": 242 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Colin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN" }, "metavars": { "": "11", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "77858d87-e024-4cdd-85c6-545fcf67ed0c", "responses": [ "- Kaepernick7: American football quarterback who sparked national attention by kneeling during the national anthem to protest against racial injustice and police brutality.\n- Nike: American multinational corporation specializing in the design, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- Kaepernick7: The same as the previous entity, referring to Colin Kaepernick, the former NFL player." ], "raw_response": { "id": "chatcmpl-96mu1kXz6S1IWxpIagRUJ29ffVIh7", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Kaepernick7: American football quarterback who sparked national attention by kneeling during the national anthem to protest against racial injustice and police brutality.\n- Nike: American multinational corporation specializing in the design, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- Kaepernick7: The same as the previous entity, referring to Colin Kaepernick, the former NFL player." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 72, "promptTokens": 143, "totalTokens": 215 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll" }, "metavars": { "": "65", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "fda9be32-3d5a-48e8-92e9-10fb191b2506", "responses": [ "- Nike: a multinational corporation that specializes in the design, development, manufacturing, and marketing of apparel, footwear, accessories, and services.\n- #JustDoIt campaign: a marketing campaign created by Nike that encourages individuals to pursue their goals and dreams.\n- Wikipedia: a free online encyclopedia that contains articles on a wide range of topics and is collaboratively edited by volunteers from around the world." ], "raw_response": { "id": "chatcmpl-96mu1TzAIuIGqui1I1ehdrK039vPo", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation that specializes in the design, development, manufacturing, and marketing of apparel, footwear, accessories, and services.\n- #JustDoIt campaign: a marketing campaign created by Nike that encourages individuals to pursue their goals and dreams.\n- Wikipedia: a free online encyclopedia that contains articles on a wide range of topics and is collaboratively edited by volunteers from around the world." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 79, "promptTokens": 155, "totalTokens": 234 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6" }, "metavars": { "": "30", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nOwned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nOwned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "2f6330ae-b551-40f4-98b2-a70d215e73e9", "responses": [ "- Nike: Nike is a multinational corporation that specializes in the design, development, and manufacturing of athletic apparel, footwear, equipment, and accessories.\n- JustDoIt: Just Do It is a famous slogan owned by Nike, commonly associated with the brand's advertising campaigns and used to motivate and inspire individuals to take action." ], "raw_response": { "id": "chatcmpl-96mu10boDkaxQ0hGs2prmiH0pH739", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is a multinational corporation that specializes in the design, development, and manufacturing of athletic apparel, footwear, equipment, and accessories.\n- JustDoIt: Just Do It is a famous slogan owned by Nike, commonly associated with the brand's advertising campaigns and used to motivate and inspire individuals to take action." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 64, "promptTokens": 124, "totalTokens": 188 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Owned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt" }, "metavars": { "": "81", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike My favorite Nike commercial ever!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike My favorite Nike commercial ever!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "40c59c37-0840-4e2d-8cb9-86d11d9fc7c5", "responses": [ "- Nike: Nike is a multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- @Nike: @Nike is the official Twitter handle of Nike, the multinational corporation mentioned above. It is used to represent the brand and engage with customers and fans on social media.\n- JustDoIt: Just Do It is Nike's famous slogan, encouraging people to push their limits and achieve their goals through sports and fitness." ], "raw_response": { "id": "chatcmpl-96mu1wSyGGLbPtzwXZwGVr0VH2oEL", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is a multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- @Nike: @Nike is the official Twitter handle of Nike, the multinational corporation mentioned above. It is used to represent the brand and engage with customers and fans on social media.\n- JustDoIt: Just Do It is Nike's famous slogan, encouraging people to push their limits and achieve their goals through sports and fitness." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 95, "promptTokens": 111, "totalTokens": 206 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike My favorite Nike commercial ever!! #JustDoIt" }, "metavars": { "": "20", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "d21de0ee-d937-457f-b8c9-418e15bd3809", "responses": [ "- @CSPensions: a Twitter account representing the Civil Service Pensions, a government organization in the United Kingdom that manages pensions for civil servants.\n- cat: a small domesticated carnivorous mammal typically kept as a pet.\n- lion: a large predatory feline species found in Africa and parts of Asia. Known for its majestic appearance and strength.\n- JustDoIt: a slogan used by the sportswear company Nike for their advertising campaigns, which encourages taking action and pursuing goals." ], "raw_response": { "id": "chatcmpl-96mu1irLdjeR3O5MzCoXhLsSh58up", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- @CSPensions: a Twitter account representing the Civil Service Pensions, a government organization in the United Kingdom that manages pensions for civil servants.\n- cat: a small domesticated carnivorous mammal typically kept as a pet.\n- lion: a large predatory feline species found in Africa and parts of Asia. Known for its majestic appearance and strength.\n- JustDoIt: a slogan used by the sportswear company Nike for their advertising campaigns, which encourages taking action and pursuing goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 100, "promptTokens": 119, "totalTokens": 219 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)" }, "metavars": { "": "12", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "8cac7a38-ffea-4bbc-87ab-06ae33c89344", "responses": [ "- Nike: Nike is a multinational corporation specializing in the design, development, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- Juntas Imparables: Juntas Imparables is a campaign by Nike that aims to inspire and empower women to achieve their goals and break barriers." ], "raw_response": { "id": "chatcmpl-96mu16WEvvXYbVW39ziX6u1bGtXH6", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is a multinational corporation specializing in the design, development, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- Juntas Imparables: Juntas Imparables is a campaign by Nike that aims to inspire and empower women to achieve their goals and break barriers." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 61, "promptTokens": 137, "totalTokens": 198 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Just to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL" }, "metavars": { "": "93", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "60c1ce79-7239-4913-b636-e5360e9c929b", "responses": [ "- nikestore: Nikestore is the official online retail store for Nike products.\n- nikes: \"Nikes\" refers to Nike shoes, a popular brand of athletic footwear.\n- JUSTDOIT: \"JUST DO IT\" is a famous slogan associated with Nike, known for its motivational connotation and association with sports and physical activity." ], "raw_response": { "id": "chatcmpl-96mu1ojUSUvHiJ5rWbWJpvDANHGRS", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- nikestore: Nikestore is the official online retail store for Nike products.\n- nikes: \"Nikes\" refers to Nike shoes, a popular brand of athletic footwear.\n- JUSTDOIT: \"JUST DO IT\" is a famous slogan associated with Nike, known for its motivational connotation and association with sports and physical activity." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 68, "promptTokens": 125, "totalTokens": 193 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP" }, "metavars": { "": "97", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "e8dd03d7-19ab-4f21-9218-4de883bd9e59", "responses": [ "- tgirlmiller: No description found for this entity.\n- Donald Trump: The 45th President of the United States, Donald John Trump is an American businessman and politician.\n- Nike: Nike, Inc. is an American multinational corporation that designs, develops, manufactures, and markets athletic footwear, apparel, equipment, and accessories." ], "raw_response": { "id": "chatcmpl-96mu1N0UQNNBbOyA5wlWU7aYe5pOV", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- tgirlmiller: No description found for this entity.\n- Donald Trump: The 45th President of the United States, Donald John Trump is an American businessman and politician.\n- Nike: Nike, Inc. is an American multinational corporation that designs, develops, manufactures, and markets athletic footwear, apparel, equipment, and accessories." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 68, "promptTokens": 147, "totalTokens": 215 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm" }, "metavars": { "": "35", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "e1441de5-5e19-4f4d-b9bd-fb13b942bb6f", "responses": [ "- Lucas Bishop: A fictional character in the Marvel Comics universe. He is a mutant from the X-Men series, known as Bishop, who possesses the power to absorb and project various forms of energy.\n- Cigar Lounge: A type of establishment where people can relax and smoke cigars. It typically provides a comfortable seating area, a selection of cigars, and often serves drinks." ], "raw_response": { "id": "chatcmpl-96mu1976c6zGGsZaLEgpjacdele5N", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Lucas Bishop: A fictional character in the Marvel Comics universe. He is a mutant from the X-Men series, known as Bishop, who possesses the power to absorb and project various forms of energy.\n- Cigar Lounge: A type of establishment where people can relax and smoke cigars. It typically provides a comfortable seating area, a selection of cigars, and often serves drinks." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 75, "promptTokens": 131, "totalTokens": 206 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU" }, "metavars": { "": "3", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNew season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNew season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "5dfd401c-f1e3-4f4b-b811-28de2a6d9473", "responses": [ "- ESG Notes: a series that focuses on environmental, social, and governance topics in investing.\n- Nike: a multinational corporation that designs, manufactures, and sells footwear, apparel, and accessories.\n- Theranos: a now-defunct health technology company that claimed to have developed a revolutionary blood-testing system.\n- Guy Callendar: a British steam engineer and inventor who is credited with the identification of the link between CO2 emissions and global warming." ], "raw_response": { "id": "chatcmpl-96mu1CXnRMRPKrGPEt9dG7uiD3L5o", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- ESG Notes: a series that focuses on environmental, social, and governance topics in investing.\n- Nike: a multinational corporation that designs, manufactures, and sells footwear, apparel, and accessories.\n- Theranos: a now-defunct health technology company that claimed to have developed a revolutionary blood-testing system.\n- Guy Callendar: a British steam engineer and inventor who is credited with the identification of the link between CO2 emissions and global warming." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 90, "promptTokens": 188, "totalTokens": 278 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "New season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn" }, "metavars": { "": "49", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "473d44c6-7364-4a04-93c6-1b9f0c1dfccf", "responses": [ "- Nike: A multinational corporation specializing in the design, manufacturing, and distribution of athletic footwear, apparel, equipment, and accessories.\n- advertising: A form of communication used to promote or sell a product, service, or idea through various media channels.\n- justdoit: A tagline and slogan associated with Nike, encouraging individuals to push through personal boundaries and achieve their goals." ], "raw_response": { "id": "chatcmpl-96mu1QEpoHqyrik8gUT4bJNo5gErv", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation specializing in the design, manufacturing, and distribution of athletic footwear, apparel, equipment, and accessories.\n- advertising: A form of communication used to promote or sell a product, service, or idea through various media channels.\n- justdoit: A tagline and slogan associated with Nike, encouraging individuals to push through personal boundaries and achieve their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 76, "promptTokens": 131, "totalTokens": 207 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Nike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ" }, "metavars": { "": "89", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIf you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIf you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "ad458841-fee9-42f1-a8e1-fe0a113c00f6", "responses": [ "- Just Do It: a brand slogan used by the sports apparel company Nike.\n- Nike: an American multinational corporation that designs, develops, and sells footwear, apparel, equipment, and accessories.\n- success: the accomplishment of an aim or purpose.\n- goals: the object of a person's ambition or effort; an aim or desired result.\n- each other: refers to the reciprocal relationship or mutual interaction between two or more individuals." ], "raw_response": { "id": "chatcmpl-96mu1eypjKbL2tJHfr0kWLObLxXQP", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Just Do It: a brand slogan used by the sports apparel company Nike.\n- Nike: an American multinational corporation that designs, develops, and sells footwear, apparel, equipment, and accessories.\n- success: the accomplishment of an aim or purpose.\n- goals: the object of a person's ambition or effort; an aim or desired result.\n- each other: refers to the reciprocal relationship or mutual interaction between two or more individuals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 87, "promptTokens": 141, "totalTokens": 228 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "If you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9" }, "metavars": { "": "48", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "f69ffc8b-3082-4a32-b780-a1861f2eaf37", "responses": [ "- Nike: a multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- Kaepernick: Colin Kaepernick is a former professional American football quarterback known for his protests against racial injustice by kneeling during the national anthem before NFL games, which resulted in a national debate and controversy." ], "raw_response": { "id": "chatcmpl-96mu1FUJ5HhHB1OTmfEftJeei0jzW", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- Kaepernick: Colin Kaepernick is a former professional American football quarterback known for his protests against racial injustice by kneeling during the national anthem before NFL games, which resulted in a national debate and controversy." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 72, "promptTokens": 140, "totalTokens": 212 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog" }, "metavars": { "": "58", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "182bf055-5bf0-4131-8a47-ff3d5385bcd5", "responses": [ "- Nike: A multinational corporation that specializes in the manufacturing and design of footwear, apparel, and sporting equipment. It is one of the world's largest suppliers of athletic shoes and apparel.\n- Back to the Future: A science fiction film franchise directed by Robert Zemeckis. The franchise includes a series of movies that follow the adventures of Marty McFly and his time-traveling DeLorean car.\n- JustDoIt: A slogan coined by Nike in 1988. It has become a widely recognized tagline associated with the brand's motivational and empowering marketing campaigns." ], "raw_response": { "id": "chatcmpl-96mu1pT4ROaayXucqtO6PUWoJuUTM", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that specializes in the manufacturing and design of footwear, apparel, and sporting equipment. It is one of the world's largest suppliers of athletic shoes and apparel.\n- Back to the Future: A science fiction film franchise directed by Robert Zemeckis. The franchise includes a series of movies that follow the adventures of Marty McFly and his time-traveling DeLorean car.\n- JustDoIt: A slogan coined by Nike in 1988. It has become a widely recognized tagline associated with the brand's motivational and empowering marketing campaigns." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 116, "promptTokens": 133, "totalTokens": 249 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt" }, "metavars": { "": "33", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "03895a79-d6eb-481f-8456-494ae3b46b80", "responses": [ "- entity: Donald Trump\n description: The 45th President of the United States.\n- entity: NFL\n description: The National Football League, a professional American football league.\n- entity: Nike\n description: An American multinational corporation that designs, manufactures, and sells footwear, apparel, equipment, and accessories.\n- entity: Kaepernick\n description: Colin Kaepernick, a former NFL football quarterback known for his protests against racial injustice by kneeling during the national anthem." ], "raw_response": { "id": "chatcmpl-96mu1axPQFbbyCldjrYqrBLwTXt8m", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Donald Trump\n description: The 45th President of the United States.\n- entity: NFL\n description: The National Football League, a professional American football league.\n- entity: Nike\n description: An American multinational corporation that designs, manufactures, and sells footwear, apparel, equipment, and accessories.\n- entity: Kaepernick\n description: Colin Kaepernick, a former NFL football quarterback known for his protests against racial injustice by kneeling during the national anthem." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 96, "promptTokens": 167, "totalTokens": 263 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap" }, "metavars": { "": "27", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "192985e8-1c90-4083-bce3-0b5058aaefa3", "responses": [ "- SplendidLoves: A company or organization related to fashion or lifestyle products.\n- Nike's: A multinational corporation that designs and manufactures footwear, apparel, and accessories.\n- 30th Anniversary: An event or celebration marking the thirtieth year of a particular occurrence.\n- JustDoIt: The tagline and advertising campaign slogan of Nike, encouraging people to push through challenges and achieve their goals.\n- Colin Kaepernick: A former professional football quarterback known for his activism and social justice efforts." ], "raw_response": { "id": "chatcmpl-96mu1HsDbSDyPlLd0IBUnZrsF4Qdg", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- SplendidLoves: A company or organization related to fashion or lifestyle products.\n- Nike's: A multinational corporation that designs and manufactures footwear, apparel, and accessories.\n- 30th Anniversary: An event or celebration marking the thirtieth year of a particular occurrence.\n- JustDoIt: The tagline and advertising campaign slogan of Nike, encouraging people to push through challenges and achieve their goals.\n- Colin Kaepernick: A former professional football quarterback known for his activism and social justice efforts." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 101, "promptTokens": 131, "totalTokens": 232 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh" }, "metavars": { "": "85", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhy won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhy won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "52436f17-e048-49cd-8cce-1e3a4b825cc8", "responses": [ "- Trump: Donald Trump is a businessman and the 45th President of the United States.\n- elections: Elections are a process where candidates compete for political positions through votes from the public.\n- RegisterToVote: RegisterToVote is a campaign or movement aimed at encouraging people to register for voting in elections.\n- JustDoIt: JustDoIt is a slogan or tagline often associated with the sportswear brand Nike, used to motivate and encourage people to take action." ], "raw_response": { "id": "chatcmpl-96mu11H4IOJN8tlOzVGMl3Do1S54t", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Trump: Donald Trump is a businessman and the 45th President of the United States.\n- elections: Elections are a process where candidates compete for political positions through votes from the public.\n- RegisterToVote: RegisterToVote is a campaign or movement aimed at encouraging people to register for voting in elections.\n- JustDoIt: JustDoIt is a slogan or tagline often associated with the sportswear brand Nike, used to motivate and encourage people to take action." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 96, "promptTokens": 137, "totalTokens": 233 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Why won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH" }, "metavars": { "": "6", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\njust doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\njust doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "bf8eca03-4570-47f5-8789-fc71adaf8b57", "responses": [ "- Nike: Nike is a multinational corporation that designs, develops, manufactures, and sells sportswear, footwear, and accessories.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football quarterback known for his social activism, particularly his protests against racial inequality and police brutality.\n- Nike NYHQ: Nike NYHQ refers to Nike's headquarters in New York City, which serves as the company's main office and houses various departments and operations." ], "raw_response": { "id": "chatcmpl-96mu1UXqvsvks9ccKN1nwYMhOX5Pd", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is a multinational corporation that designs, develops, manufactures, and sells sportswear, footwear, and accessories.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football quarterback known for his social activism, particularly his protests against racial inequality and police brutality.\n- Nike NYHQ: Nike NYHQ refers to Nike's headquarters in New York City, which serves as the company's main office and houses various departments and operations." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 88, "promptTokens": 144, "totalTokens": 232 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "just doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI" }, "metavars": { "": "60", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nits Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nits Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "cc5fa0a0-f66b-4e89-a4c9-fb240a2edf83", "responses": [ "- Land of the Free: A nickname for the United States, representing the values of freedom and liberty.\n- Eminem: An American rapper, songwriter, and record producer known for his popular and controversial songs.\n- Revival: An album by Eminem, released in 2017.\n- Nike: A multinational corporation specializing in the design, development, and manufacturing of athletic apparel and footwear.\n- Colin Kaepernick: A former professional American football quarterback known for his activism against racial injustice and police brutality.\n- Just Do It: A famous slogan of Nike, often associated with their brand and marketing campaigns." ], "raw_response": { "id": "chatcmpl-96mu1nyM2I3JNhZBbKYWmvCTOxozG", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Land of the Free: A nickname for the United States, representing the values of freedom and liberty.\n- Eminem: An American rapper, songwriter, and record producer known for his popular and controversial songs.\n- Revival: An album by Eminem, released in 2017.\n- Nike: A multinational corporation specializing in the design, development, and manufacturing of athletic apparel and footwear.\n- Colin Kaepernick: A former professional American football quarterback known for his activism against racial injustice and police brutality.\n- Just Do It: A famous slogan of Nike, often associated with their brand and marketing campaigns." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 120, "promptTokens": 159, "totalTokens": 279 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "its Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep" }, "metavars": { "": "95", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhy yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhy yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c6e1c2e2-4aec-472c-8719-ddf3d82a73aa", "responses": [ "- Tayson: American actor, producer, film director, and screenwriter.\n- JustDoIt: Slogan and a registered trademark of Nike.\n- Nike: American multinational corporation that designs, develops, manufactures, and markets footwear.\n- internewins: Not found in a knowledge base.\n- Mike Tyson: Former American professional boxer who competed from 1985 to 2005.\n- Tyson: American professional boxer Deontay Wilder." ], "raw_response": { "id": "chatcmpl-96mu14m9Ti72hbLt7Cx3PPsQiqg1T", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Tayson: American actor, producer, film director, and screenwriter.\n- JustDoIt: Slogan and a registered trademark of Nike.\n- Nike: American multinational corporation that designs, develops, manufactures, and markets footwear.\n- internewins: Not found in a knowledge base.\n- Mike Tyson: Former American professional boxer who competed from 1985 to 2005.\n- Tyson: American professional boxer Deontay Wilder." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 90, "promptTokens": 141, "totalTokens": 231 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Why yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM" }, "metavars": { "": "31", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhat ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nWhat ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "64af07f9-4815-47c5-85a4-393502cca7af", "responses": [ "- `JustDoIt`: a motivational campaign slogan used by the sportswear brand Nike.\n- `Nike`: an American multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- `https://t.co/SOoFxtB778`: a shortened URL that leads to additional information or content related to the tweet, without sufficient information to describe the specific content it points to." ], "raw_response": { "id": "chatcmpl-96mu1YfleQnHTI2VYwS9Sj89itl46", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- `JustDoIt`: a motivational campaign slogan used by the sportswear brand Nike.\n- `Nike`: an American multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- `https://t.co/SOoFxtB778`: a shortened URL that leads to additional information or content related to the tweet, without sufficient information to describe the specific content it points to." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 85, "promptTokens": 122, "totalTokens": 207 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "What ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778" }, "metavars": { "": "62", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nOne Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nOne Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "720b6b2d-c270-4257-b403-bf9628585c42", "responses": [ "- entity: Shaquem Griffin\n description: Shaquem Griffin is a professional American football player who plays for the Seattle Seahawks in the NFL.\n- entity: Seattle Seahawks\n description: The Seattle Seahawks is a professional American football team based in Seattle, Washington.\n- entity: Just Do It\n description: \"Just Do It\" is a well-known slogan used by the sports apparel company Nike.\n- entity: Nike\n description: Nike is a multinational corporation that designs, develops, and sells athletic apparel, footwear, and accessories." ], "raw_response": { "id": "chatcmpl-96mu1W2GljdE5A4HpKLyHPLENxuYQ", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Shaquem Griffin\n description: Shaquem Griffin is a professional American football player who plays for the Seattle Seahawks in the NFL.\n- entity: Seattle Seahawks\n description: The Seattle Seahawks is a professional American football team based in Seattle, Washington.\n- entity: Just Do It\n description: \"Just Do It\" is a well-known slogan used by the sports apparel company Nike.\n- entity: Nike\n description: Nike is a multinational corporation that designs, develops, and sells athletic apparel, footwear, and accessories." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 111, "promptTokens": 157, "totalTokens": 268 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "One Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7" }, "metavars": { "": "4", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThis is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThis is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b9b8b49f-f520-42fc-80ca-dab537bd9318", "responses": [ "- reminder: This is a general concept that serves as a prompt to remember something important or significant.\n- things: This refers to general objects or items that can be possessed or experienced.\n- wait: This refers to the act of staying in a place or remaining inactive until something expected or desired happens.\n- hustle: This refers to the act of working hard, often with a sense of urgency, to achieve a goal or desired outcome." ], "raw_response": { "id": "chatcmpl-96mu1VFGgUUIsuvA0E55YZ4LuCEUQ", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- reminder: This is a general concept that serves as a prompt to remember something important or significant.\n- things: This refers to general objects or items that can be possessed or experienced.\n- wait: This refers to the act of staying in a place or remaining inactive until something expected or desired happens.\n- hustle: This refers to the act of working hard, often with a sense of urgency, to achieve a goal or desired outcome." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 87, "promptTokens": 151, "totalTokens": 238 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "This is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh" }, "metavars": { "": "73", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "93dec45a-a428-4e86-8017-c970b2a83ff3", "responses": [ "- washingtonpost: A major American daily newspaper, based in Washington, D.C.\n- Kap: Referring to Colin Kaepernick, a former American football player known for his activism against racial injustice and police brutality.\n- JustDoIt: Nike's popular slogan encouraging people to take action and pursue their goals.\n- Nike: An American multinational corporation specializing in the design, manufacturing, and sales of sportswear and equipment.\n- DJT: Referring to Donald J. Trump, the 45th President of the United States.\n- US: The United States, a country located in North America.\n- BlueWave2018: Referring to the 2018 U.S. midterm elections, specifically the wave of Democratic victories." ], "raw_response": { "id": "chatcmpl-96mu1xUUMeyBuzOm0bxysWlseaqNF", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- washingtonpost: A major American daily newspaper, based in Washington, D.C.\n- Kap: Referring to Colin Kaepernick, a former American football player known for his activism against racial injustice and police brutality.\n- JustDoIt: Nike's popular slogan encouraging people to take action and pursue their goals.\n- Nike: An American multinational corporation specializing in the design, manufacturing, and sales of sportswear and equipment.\n- DJT: Referring to Donald J. Trump, the 45th President of the United States.\n- US: The United States, a country located in North America.\n- BlueWave2018: Referring to the 2018 U.S. midterm elections, specifically the wave of Democratic victories." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 146, "promptTokens": 132, "totalTokens": 278 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018" }, "metavars": { "": "64", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "ea93ddf6-ab27-456e-ab28-4832e214a6c6", "responses": [ "- `NIKE`: Nike is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- `@realDonaldTrump`: @realDonaldTrump is the Twitter username of Donald J. Trump, the 45th President of the United States.\n- `AHAHAHAHAHAHAAHA`: This is not a recognized entity as it does not correspond to any known person or organization." ], "raw_response": { "id": "chatcmpl-96mu1GiTto4BU2YIZfvMx2CosaP3j", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- `NIKE`: Nike is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- `@realDonaldTrump`: @realDonaldTrump is the Twitter username of Donald J. Trump, the 45th President of the United States.\n- `AHAHAHAHAHAHAAHA`: This is not a recognized entity as it does not correspond to any known person or organization." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 96, "promptTokens": 159, "totalTokens": 255 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds" }, "metavars": { "": "92", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDon't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDon't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "00e7ba11-7115-4832-87ab-e846556a28e4", "responses": [ "- leg day: A workout routine focused on exercising the muscles in one's legs.\n- y'all: A contraction of \"you all,\" commonly used in the Southern United States to address a group of people.\n- #justdoit: A popular slogan and trademark of Nike, used to encourage people to take action and pursue their goals.\n- #flexfriday: A social media trend where individuals share photos or videos of themselves flexing their muscles on Fridays.\n- #berkhansays: A hashtag associated with Martin Berkhan, a Swedish fitness writer and nutritionist, known for his approach to intermittent fasting and strength training." ], "raw_response": { "id": "chatcmpl-96mu1SMap6FvAIkzDOZxTRFqhbLsv", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- leg day: A workout routine focused on exercising the muscles in one's legs.\n- y'all: A contraction of \"you all,\" commonly used in the Southern United States to address a group of people.\n- #justdoit: A popular slogan and trademark of Nike, used to encourage people to take action and pursue their goals.\n- #flexfriday: A social media trend where individuals share photos or videos of themselves flexing their muscles on Fridays.\n- #berkhansays: A hashtag associated with Martin Berkhan, a Swedish fitness writer and nutritionist, known for his approach to intermittent fasting and strength training." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 127, "promptTokens": 134, "totalTokens": 261 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Don't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu" }, "metavars": { "": "29", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nCheck Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nCheck Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "1633874a-a92e-4332-8eeb-c443159fdfea", "responses": [ "- September 10th: a specific date\n- Facebook Live: a video streaming service provided by Facebook\n- 8 am: a specific time\n- Nike: an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services\n- https://t.co/cKpdrrRzTJ: a URL\n- Four Easy Techniques to Keep You Calm as a Nurse: a title of an article or guide\n- Thanks!: a polite expression of gratitude\n- https://t.co/iNlExWzYav: a URL" ], "raw_response": { "id": "chatcmpl-96mu1OIWJ6xSZgdEbpJM5jgPg4czp", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- September 10th: a specific date\n- Facebook Live: a video streaming service provided by Facebook\n- 8 am: a specific time\n- Nike: an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services\n- https://t.co/cKpdrrRzTJ: a URL\n- Four Easy Techniques to Keep You Calm as a Nurse: a title of an article or guide\n- Thanks!: a polite expression of gratitude\n- https://t.co/iNlExWzYav: a URL" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 129, "promptTokens": 165, "totalTokens": 294 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Check Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav" }, "metavars": { "": "61", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nInvest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nInvest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "8a240d64-b53f-4cb0-9a79-b44617a922dc", "responses": [ "- DocThompsonShow: The Doc Thompson Show is a radio talk show hosted by Doc Thompson, who is known for his bold and unique perspective on politics and culture.\n- BradStaggs: Brad Staggs is a radio personality and co-host of the Doc Thompson Show, where he provides insightful commentary on current events and popular culture.\n- foodbizpro: Foodbizpro is a social media handle likely associated with an individual or organization that specializes in providing business solutions and consulting services to the food industry." ], "raw_response": { "id": "chatcmpl-96mu1IsP41zuRVYg8L64Rn8spYs8r", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- DocThompsonShow: The Doc Thompson Show is a radio talk show hosted by Doc Thompson, who is known for his bold and unique perspective on politics and culture.\n- BradStaggs: Brad Staggs is a radio personality and co-host of the Doc Thompson Show, where he provides insightful commentary on current events and popular culture.\n- foodbizpro: Foodbizpro is a social media handle likely associated with an individual or organization that specializes in providing business solutions and consulting services to the food industry." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 103, "promptTokens": 128, "totalTokens": 231 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Invest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro" }, "metavars": { "": "50", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "ef0df237-857b-4e5d-b3b3-97395599d1d7", "responses": [ "- nerdygirl007: Unknown entity. No description available based on the given information.\n- 1DentalHyGenius: Unknown entity. No description available based on the given information.\n- IntelisexXx: Unknown entity. No description available based on the given information.\n- NuttyTrump: Unknown entity. No description available based on the given information.\n- CokerRory: Unknown entity. No description available based on the given information.\n- benFranklin2018: Unknown entity. No description available based on the given information." ], "raw_response": { "id": "chatcmpl-96mu1V3MKhLyI8qn21qSZiz95JUYl", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- nerdygirl007: Unknown entity. No description available based on the given information.\n- 1DentalHyGenius: Unknown entity. No description available based on the given information.\n- IntelisexXx: Unknown entity. No description available based on the given information.\n- NuttyTrump: Unknown entity. No description available based on the given information.\n- CokerRory: Unknown entity. No description available based on the given information.\n- benFranklin2018: Unknown entity. No description available based on the given information." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 111, "promptTokens": 140, "totalTokens": 251 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt" }, "metavars": { "": "36", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "bd321bfe-32a6-404b-9224-ad8d3f6b8de5", "responses": [ "- entity: Nike\n - description: a well-known multinational corporation specializing in the design, manufacture, and marketing of athletic and casual footwear, apparel, equipment, and accessories\n- entity: Cowboys\n - description: refers to the Dallas Cowboys, a professional American football team based in Dallas, Texas\n- entity: Joseph Randle\n - description: a former American football running back who played for the Dallas Cowboys in the National Football League (NFL)\n- entity: rape\n - description: a criminal act involving sexual intercourse without consent or against a person's will" ], "raw_response": { "id": "chatcmpl-96mu1g2cyE9nGiLWanHalICK7lYCw", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike\n - description: a well-known multinational corporation specializing in the design, manufacture, and marketing of athletic and casual footwear, apparel, equipment, and accessories\n- entity: Cowboys\n - description: refers to the Dallas Cowboys, a professional American football team based in Dallas, Texas\n- entity: Joseph Randle\n - description: a former American football running back who played for the Dallas Cowboys in the National Football League (NFL)\n- entity: rape\n - description: a criminal act involving sexual intercourse without consent or against a person's will" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 116, "promptTokens": 132, "totalTokens": 248 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb" }, "metavars": { "": "39", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nAnd they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nAnd they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "de6739cc-26bc-4d42-b5a2-0d6ce02a8493", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and sales of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: A motivational slogan used by Nike to encourage individuals to take action and overcome obstacles.\n- Nike: A global brand known for its athletic products and recognized for its iconic logo, the Nike Swoosh.\n- Media: A collective term referring to various means of communication like print, radio, television, and the internet that provide news, information, and entertainment to the public." ], "raw_response": { "id": "chatcmpl-96mu1NGEmRotLXbpJoi68LKnIsQuO", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that specializes in the design, manufacturing, and sales of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: A motivational slogan used by Nike to encourage individuals to take action and overcome obstacles.\n- Nike: A global brand known for its athletic products and recognized for its iconic logo, the Nike Swoosh.\n- Media: A collective term referring to various means of communication like print, radio, television, and the internet that provide news, information, and entertainment to the public." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 106, "promptTokens": 143, "totalTokens": 249 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "And they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p" }, "metavars": { "": "69", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nAbortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nAbortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "1a9e0827-069d-4aad-9acb-7420eadd7188", "responses": [ "- entity: Abortion\n description: A medical procedure to end a pregnancy.\n- entity: Kavanaugh\n description: Refers to Brett Kavanaugh, an American judge and Associate Justice of the Supreme Court of the United States.\n- entity: Democrats\n description: A political party in the United States that advocates for social and economic equality.\n- entity: children\n description: Young human beings who are not yet adults.\n- entity: Supreme Court\n description: The highest court in the federal judiciary of the United States.\n- entity: United States\n description: A country located primarily in North America." ], "raw_response": { "id": "chatcmpl-96mu1YHD29an9eN4y9WZvQI2d6LQB", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Abortion\n description: A medical procedure to end a pregnancy.\n- entity: Kavanaugh\n description: Refers to Brett Kavanaugh, an American judge and Associate Justice of the Supreme Court of the United States.\n- entity: Democrats\n description: A political party in the United States that advocates for social and economic equality.\n- entity: children\n description: Young human beings who are not yet adults.\n- entity: Supreme Court\n description: The highest court in the federal judiciary of the United States.\n- entity: United States\n description: A country located primarily in North America." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 124, "promptTokens": 142, "totalTokens": 266 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Abortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit" }, "metavars": { "": "19", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "4ddb1608-bb31-4bdb-89df-4418d8cb9057", "responses": [ "- LeBron: LeBron James, also known simply as LeBron, is a professional basketball player who is considered one of the greatest players in NBA history. He has played for multiple NBA teams and has won multiple championships.\n- Nike: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories. It is one of the world's largest suppliers of athletic shoes and apparel.\n- Just Do It: \"Just Do It\" is a famous Nike slogan that encourages people to take action and overcome obstacles. It has been widely recognized and associated with Nike's brand." ], "raw_response": { "id": "chatcmpl-96mu1jdOzmJEhlxUosJL9c0K3ouGS", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- LeBron: LeBron James, also known simply as LeBron, is a professional basketball player who is considered one of the greatest players in NBA history. He has played for multiple NBA teams and has won multiple championships.\n- Nike: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories. It is one of the world's largest suppliers of athletic shoes and apparel.\n- Just Do It: \"Just Do It\" is a famous Nike slogan that encourages people to take action and overcome obstacles. It has been widely recognized and associated with Nike's brand." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 119, "promptTokens": 129, "totalTokens": 248 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt" }, "metavars": { "": "42", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nHey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nHey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "bde4caa0-d9f9-4851-9829-9207c0cc1031", "responses": [ "- YouTube: a video sharing platform where users can upload, watch, and interact with videos.\n- JustDoIt: a famous slogan used by the sportswear brand Nike.\n- 🧑: an orange heart emoji used to convey love, happiness, or excitement.\n- the link: a hyperlink that leads to a web page.\n- https://t.co/W7JhYpHtXL: a shortened URL that redirects to a specific web page.\n- https://t.co/ltUmnsCxxZ: a shortened URL that redirects to a specific web page." ], "raw_response": { "id": "chatcmpl-96mu1JzwyUrc4L51yB0VT12M9aiX4", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- YouTube: a video sharing platform where users can upload, watch, and interact with videos.\n- JustDoIt: a famous slogan used by the sportswear brand Nike.\n- 🧑: an orange heart emoji used to convey love, happiness, or excitement.\n- the link: a hyperlink that leads to a web page.\n- https://t.co/W7JhYpHtXL: a shortened URL that redirects to a specific web page.\n- https://t.co/ltUmnsCxxZ: a shortened URL that redirects to a specific web page." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 118, "promptTokens": 165, "totalTokens": 283 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Hey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ" }, "metavars": { "": "25", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nJust Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "66051a7d-8d37-473d-b3df-f207ccfc4d6e", "responses": [ "- entity: Nike\n description: Nike, Inc. is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former professional football quarterback who gained attention for kneeling during the national anthem to protest racial injustice and police brutality.\n\n- entity: Black Power\n description: Black Power is a political slogan and a name for various associated ideologies aimed at achieving self-determination for people of African descent.\n\n- entity: Thugpun\n description: Thugpun is a hashtag that combines the words \"thug\" and \"pun\", often used to express humorous or clever wordplay in a \"thug\" context." ], "raw_response": { "id": "chatcmpl-96mu15CYVA35mIhf360pSb3yetjLs", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike\n description: Nike, Inc. is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former professional football quarterback who gained attention for kneeling during the national anthem to protest racial injustice and police brutality.\n\n- entity: Black Power\n description: Black Power is a political slogan and a name for various associated ideologies aimed at achieving self-determination for people of African descent.\n\n- entity: Thugpun\n description: Thugpun is a hashtag that combines the words \"thug\" and \"pun\", often used to express humorous or clever wordplay in a \"thug\" context." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 158, "promptTokens": 133, "totalTokens": 291 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Just Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W" }, "metavars": { "": "90", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nStand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nStand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "4eacaeb9-e778-4b03-ae6e-a6f0e882adca", "responses": [ "- Just Do It: Nike's famous slogan, encouraging individuals to take action and pursue their goals.\n- Nike: An American multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories. It is one of the world's largest suppliers of athletic shoes and apparel.\n- Stand: A common verb, usually referring to taking a firm position or advocating for a particular cause.\n- Sacrificing: The act of giving up something valuable or desired for the sake of a cause or principle.\n- Everything: A pronoun that refers to all things or every single thing in existence." ], "raw_response": { "id": "chatcmpl-96mu1UboyQsnVyIZ5C2OSEC2EW7ez", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Just Do It: Nike's famous slogan, encouraging individuals to take action and pursue their goals.\n- Nike: An American multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories. It is one of the world's largest suppliers of athletic shoes and apparel.\n- Stand: A common verb, usually referring to taking a firm position or advocating for a particular cause.\n- Sacrificing: The act of giving up something valuable or desired for the sake of a cause or principle.\n- Everything: A pronoun that refers to all things or every single thing in existence." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 120, "promptTokens": 130, "totalTokens": 250 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Stand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z" }, "metavars": { "": "82", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "38d5877f-ed5a-4bab-8592-5c74ebb417ba", "responses": [ "- #socialism: a political and economic theory advocating for collective or governmental ownership and control of the means of production and distribution of goods\n- #JustDoIt: a slogan used by the sports brand Nike to encourage motivation and action\n- #Truth: a concept representing the quality or state of being in accordance with fact or reality\n- #kaga2018: an unknown entity, not found in a knowledge base\n- #kag2020: an unknown entity, not found in a knowledge base\n- #Maga: an acronym for \"Make America Great Again,\" a political slogan associated with Donald Trump's presidential campaign in 2016\n- #FakeNews: a term used to describe false or misleading information presented as news\n- https://t.co/FsJZyVC98J: a URL shortened by Twitter, which is not an entity" ], "raw_response": { "id": "chatcmpl-96mu1XYincFbbcpb9rffyxdM7NsGe", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- #socialism: a political and economic theory advocating for collective or governmental ownership and control of the means of production and distribution of goods\n- #JustDoIt: a slogan used by the sports brand Nike to encourage motivation and action\n- #Truth: a concept representing the quality or state of being in accordance with fact or reality\n- #kaga2018: an unknown entity, not found in a knowledge base\n- #kag2020: an unknown entity, not found in a knowledge base\n- #Maga: an acronym for \"Make America Great Again,\" a political slogan associated with Donald Trump's presidential campaign in 2016\n- #FakeNews: a term used to describe false or misleading information presented as news\n- https://t.co/FsJZyVC98J: a URL shortened by Twitter, which is not an entity" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 176, "promptTokens": 174, "totalTokens": 350 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J" }, "metavars": { "": "16", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "6e2e8a92-aefe-4446-9176-ee0668fd954c", "responses": [ "- Nike: a multinational corporation that designs, develops, and manufactures footwear, clothing, equipment, and accessories for various sports and physical activities\n- athletes: individuals who participate in sporting activities and compete in various events\n- younger generation: refers to the demographic group consisting of individuals who are younger in age, typically encompassing teenagers and young adults\n- thoughtwear: a term used to describe clothing or accessories that convey a particular message, belief, or ideology\n- justdoit: a slogan and trademark of Nike that encourages individuals to take action and pursue their goals or aspirations\n- diplomacy: the practice of conducting negotiations and managing international relations through dialogue, negotiation, and compromise" ], "raw_response": { "id": "chatcmpl-96mu1cutZMmhik0nwvoadN2z7xhfD", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation that designs, develops, and manufactures footwear, clothing, equipment, and accessories for various sports and physical activities\n- athletes: individuals who participate in sporting activities and compete in various events\n- younger generation: refers to the demographic group consisting of individuals who are younger in age, typically encompassing teenagers and young adults\n- thoughtwear: a term used to describe clothing or accessories that convey a particular message, belief, or ideology\n- justdoit: a slogan and trademark of Nike that encourages individuals to take action and pursue their goals or aspirations\n- diplomacy: the practice of conducting negotiations and managing international relations through dialogue, negotiation, and compromise" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 135, "promptTokens": 151, "totalTokens": 286 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm" }, "metavars": { "": "75", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "8228c242-4cdf-4af7-94e7-635a261136cc", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- Kyrie: Kyrie Irving, an American professional basketball player who currently plays for the Brooklyn Nets in the National Basketball Association (NBA).\n- LeBron: LeBron James, an American professional basketball player widely regarded as one of the greatest players in NBA history. He currently plays for the Los Angeles Lakers.\n- Kapernick: Colin Kaepernick, a former American football quarterback known for his protests against racial injustice and police brutality. He played in the National Football League (NFL) for the San Francisco 49ers.\n- KingJames: A nickname for LeBron James, referring to his dominance and impact on the game of basketball.\n- Just Do It: A tagline and slogan used by Nike, often associated with sports, motivation, and empowerment." ], "raw_response": { "id": "chatcmpl-96mu1jtvrl4IPqK5kxrOkkIYfqpzD", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that specializes in the design, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- Kyrie: Kyrie Irving, an American professional basketball player who currently plays for the Brooklyn Nets in the National Basketball Association (NBA).\n- LeBron: LeBron James, an American professional basketball player widely regarded as one of the greatest players in NBA history. He currently plays for the Los Angeles Lakers.\n- Kapernick: Colin Kaepernick, a former American football quarterback known for his protests against racial injustice and police brutality. He played in the National Football League (NFL) for the San Francisco 49ers.\n- KingJames: A nickname for LeBron James, referring to his dominance and impact on the game of basketball.\n- Just Do It: A tagline and slogan used by Nike, often associated with sports, motivation, and empowerment." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 175, "promptTokens": 179, "totalTokens": 354 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker" }, "metavars": { "": "45", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "e9e36eec-8159-4ccf-98e9-f8c9b595d8e9", "responses": [ "- `Nike`: Nike is a multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- `Just Do It`: \"Just Do It\" is a slogan used by Nike in their advertising campaigns since 1988. It has become a widely recognized phrase encouraging people to push themselves and take action.\n- `Believe In Something`: This phrase is commonly associated with Nike's marketing campaign featuring Colin Kaepernick, an American football player known for his activism.\n- `Wikipedia`: Wikipedia is a free online encyclopedia that is created and edited by volunteers around the world. It provides information on a wide range of topics and is one of the most popular reference sources on the internet." ], "raw_response": { "id": "chatcmpl-96mu1Cl9GtxviOSCYxw6eVqE2pDnw", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- `Nike`: Nike is a multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- `Just Do It`: \"Just Do It\" is a slogan used by Nike in their advertising campaigns since 1988. It has become a widely recognized phrase encouraging people to push themselves and take action.\n- `Believe In Something`: This phrase is commonly associated with Nike's marketing campaign featuring Colin Kaepernick, an American football player known for his activism.\n- `Wikipedia`: Wikipedia is a free online encyclopedia that is created and edited by volunteers around the world. It provides information on a wide range of topics and is one of the most popular reference sources on the internet." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 149, "promptTokens": 148, "totalTokens": 297 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA" }, "metavars": { "": "78", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThis is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThis is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "da871906-4b6d-45e9-8219-efef62e4d9ed", "responses": [ "- Colin: Colin refers to Colin Kaepernick, a former professional American football quarterback who gained widespread attention for taking a knee during the national anthem as a protest against racial inequality and police brutality in the United States.\n- Urkel: Urkel refers to Steve Urkel, a fictional character from the American television sitcom Family Matters, portrayed by Jaleel White. Urkel is known for his awkward and nerdy personality.\n- police: The police refers to a law enforcement agency responsible for maintaining public order, preventing crime, and enforcing laws.\n- criminal: A criminal refers to a person who has been convicted of a crime, which is a legal offense punishable by law." ], "raw_response": { "id": "chatcmpl-96mu11SP8X3qSFIFQnpmkli595Vpm", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Colin: Colin refers to Colin Kaepernick, a former professional American football quarterback who gained widespread attention for taking a knee during the national anthem as a protest against racial inequality and police brutality in the United States.\n- Urkel: Urkel refers to Steve Urkel, a fictional character from the American television sitcom Family Matters, portrayed by Jaleel White. Urkel is known for his awkward and nerdy personality.\n- police: The police refers to a law enforcement agency responsible for maintaining public order, preventing crime, and enforcing laws.\n- criminal: A criminal refers to a person who has been convicted of a crime, which is a legal offense punishable by law." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 133, "promptTokens": 170, "totalTokens": 303 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "This is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM" }, "metavars": { "": "56", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIf you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIf you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "5d82ecf7-86ff-4bb6-8346-aa0e0c3e501f", "responses": [ "- entity: cremated\n - description: The act of turning a dead body into ashes through the process of cremation.\n- entity: shoulder fired rocket launcher\n - description: A portable weapon that can be fired from the shoulder, commonly used by military personnel for launching rockets or missiles.\n- entity: LoveIsLove\n - description: A slogan and hashtag used to express support for equal rights in the LGBTQ+ community.\n- entity: Just Do It\n - description: A trademarked slogan used by Nike, encouraging people to take action and pursue their goals.\n- entity: ShowerThoughts\n - description: A subreddit community dedicated to sharing reflections, ideas, or epiphanies that typically occur while showering." ], "raw_response": { "id": "chatcmpl-96mu1Ll9l3hkvCQp0c7PTxcjU5NMu", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: cremated\n - description: The act of turning a dead body into ashes through the process of cremation.\n- entity: shoulder fired rocket launcher\n - description: A portable weapon that can be fired from the shoulder, commonly used by military personnel for launching rockets or missiles.\n- entity: LoveIsLove\n - description: A slogan and hashtag used to express support for equal rights in the LGBTQ+ community.\n- entity: Just Do It\n - description: A trademarked slogan used by Nike, encouraging people to take action and pursue their goals.\n- entity: ShowerThoughts\n - description: A subreddit community dedicated to sharing reflections, ideas, or epiphanies that typically occur while showering." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "low", "filtered": false } } } ], "usage": { "completionTokens": 150, "promptTokens": 146, "totalTokens": 296 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "If you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts" }, "metavars": { "": "51", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDon’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nDon’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "6aa352f8-ed6d-4a01-b2a0-469c42d6d197", "responses": [ "- entity: Just Do It: A brand slogan used by Nike, a multinational corporation specializing in athletic footwear and apparel.\n- entity: Nike: A multinational corporation specializing in athletic footwear and apparel.\n- entity: Dreams: A state of consciousness characterized by sequences of images, ideas, emotions, and sensations that usually occur involuntarily in the mind during certain stages of sleep.\n- entity: Crazy: A slang term used to describe something that is wild, outrageous, or unconventional.\n- entity: Knowledge Base: A database of structured and organized information, typically used in artificial intelligence systems to provide a foundation of knowledge for various tasks." ], "raw_response": { "id": "chatcmpl-96mu11VbMkqZ8ErbKuxZMBbxvGFys", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Just Do It: A brand slogan used by Nike, a multinational corporation specializing in athletic footwear and apparel.\n- entity: Nike: A multinational corporation specializing in athletic footwear and apparel.\n- entity: Dreams: A state of consciousness characterized by sequences of images, ideas, emotions, and sensations that usually occur involuntarily in the mind during certain stages of sleep.\n- entity: Crazy: A slang term used to describe something that is wild, outrageous, or unconventional.\n- entity: Knowledge Base: A database of structured and organized information, typically used in artificial intelligence systems to provide a foundation of knowledge for various tasks." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 126, "promptTokens": 120, "totalTokens": 246 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Don’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit" }, "metavars": { "": "53", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThere are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThere are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "d308312f-287a-4a1e-a561-183e7d80bf3a", "responses": [ "- Nike: A multinational corporation that designs, develops, and manufactures athletic apparel, footwear, equipment, and accessories.\n- Nike Ad: Advertising campaigns created by Nike to promote their products and brand.\n- Newsfeed: A constantly updating list or feed of news articles or posts from various sources.\n- Just Do It: A famous and longstanding marketing slogan used by Nike to encourage people to take action and pursue their goals.\n- Meme: An internet phenomenon that encompasses a wide range of images, videos, and concepts that spread rapidly through social media platforms, often with a humorous or satirical intent.\n- Wikipedia: A free online encyclopedia that allows users to collaboratively create, edit, and publish articles on a wide range of topics.\n- πŸͺ: A Unicode character representing a cookie.\n- πŸ˜‚: A Unicode character representing a face with tears of joy emoji." ], "raw_response": { "id": "chatcmpl-96mu1SkexntzhgH9BQG49CAwPETVb", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that designs, develops, and manufactures athletic apparel, footwear, equipment, and accessories.\n- Nike Ad: Advertising campaigns created by Nike to promote their products and brand.\n- Newsfeed: A constantly updating list or feed of news articles or posts from various sources.\n- Just Do It: A famous and longstanding marketing slogan used by Nike to encourage people to take action and pursue their goals.\n- Meme: An internet phenomenon that encompasses a wide range of images, videos, and concepts that spread rapidly through social media platforms, often with a humorous or satirical intent.\n- Wikipedia: A free online encyclopedia that allows users to collaboratively create, edit, and publish articles on a wide range of topics.\n- πŸͺ: A Unicode character representing a cookie.\n- πŸ˜‚: A Unicode character representing a face with tears of joy emoji." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 174, "promptTokens": 163, "totalTokens": 337 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "There are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M" }, "metavars": { "": "2", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nSo with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nSo with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "26e920ce-9be2-494b-8b83-71bc7b8c371e", "responses": [ "- Sun: The Sun is the star at the center of the Solar System, and it plays a vital role in providing heat and energy to the Earth.\n- Virgo: Virgo is the sixth astrological sign in the zodiac, representing those born between August 23rd and September 22nd. It is associated with traits such as analytical thinking, practicality, and attention to detail.\n- Sunday: Sunday is considered the seventh and final day of the week in most Western countries. It is typically observed as a day of rest and worship in many religious traditions.\n- exercise regimen: An exercise regimen refers to a structured plan or routine that individuals follow to engage in physical activities in order to improve their fitness levels and overall well-being.\n- dietary regimen: A dietary regimen refers to a specific pattern or plan of eating that individuals adopt in order to achieve specific health goals, such as weight loss, muscle gain, or overall better nutrition." ], "raw_response": { "id": "chatcmpl-96mu1k6KtJYydz3FYf7wuQxJLoDvo", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Sun: The Sun is the star at the center of the Solar System, and it plays a vital role in providing heat and energy to the Earth.\n- Virgo: Virgo is the sixth astrological sign in the zodiac, representing those born between August 23rd and September 22nd. It is associated with traits such as analytical thinking, practicality, and attention to detail.\n- Sunday: Sunday is considered the seventh and final day of the week in most Western countries. It is typically observed as a day of rest and worship in many religious traditions.\n- exercise regimen: An exercise regimen refers to a structured plan or routine that individuals follow to engage in physical activities in order to improve their fitness levels and overall well-being.\n- dietary regimen: A dietary regimen refers to a specific pattern or plan of eating that individuals adopt in order to achieve specific health goals, such as weight loss, muscle gain, or overall better nutrition." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 189, "promptTokens": 143, "totalTokens": 332 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "So with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl" }, "metavars": { "": "43", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nHey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nHey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "46b6d618-40d9-430a-86dd-41705cc8a4c4", "responses": [ "- `Nike`: a multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- `our country`: refers to the nation or country that the author of the tweet identifies with.\n- `nation`: a community of people who share a common language, culture, ethnicity, descent, or history.\n- `flag`: a piece of cloth or similar material, typically rectangular or square, attachable by one edge to a pole or rope, and used as the symbol or emblem of a country or institution.\n- `marine`: a member of the United States Marine Corps, a branch of the United States Armed Forces specializing in amphibious operations.\n- `millionaire`: an individual whose net worth or wealth is equal to or exceeds one million units of currency.\n- `ads`: short for advertisements, which are used to promote products, services, or ideas to a target audience." ], "raw_response": { "id": "chatcmpl-96mu1PgzMJVTlv58Z7ioCxC6aB9G2", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- `Nike`: a multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- `our country`: refers to the nation or country that the author of the tweet identifies with.\n- `nation`: a community of people who share a common language, culture, ethnicity, descent, or history.\n- `flag`: a piece of cloth or similar material, typically rectangular or square, attachable by one edge to a pole or rope, and used as the symbol or emblem of a country or institution.\n- `marine`: a member of the United States Marine Corps, a branch of the United States Armed Forces specializing in amphibious operations.\n- `millionaire`: an individual whose net worth or wealth is equal to or exceeds one million units of currency.\n- `ads`: short for advertisements, which are used to promote products, services, or ideas to a target audience." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 193, "promptTokens": 167, "totalTokens": 360 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Hey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt" }, "metavars": { "": "17", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIt saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nIt saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "31efa22e-0c7b-4f04-a76a-e367234bbecb", "responses": [ "- `JUSTDOIT`: This is the slogan of Nike, a multinational corporation that is known for manufacturing sports apparel and equipment.\n- `Nike`: Nike is a multinational corporation that designs, develops, and sells athletic shoes, apparel, equipment, and accessories.\n- `🌚`: The 🌚 emoji is commonly referred to as \"New Moon Face\" and is used to represent various concepts related to darkness, nighttime, or a mysterious atmosphere.\n- `🐾`: The 🐾 emoji is commonly referred to as \"Paw Prints\" and is often used to express love for animals, represent pets, or symbolize a sense of adventure.\n- `https://t.co/NYIuOqktj3`: This is a URL that represents a web link." ], "raw_response": { "id": "chatcmpl-96mu1EobnrT49qZWHgESOJcBbhR4A", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- `JUSTDOIT`: This is the slogan of Nike, a multinational corporation that is known for manufacturing sports apparel and equipment.\n- `Nike`: Nike is a multinational corporation that designs, develops, and sells athletic shoes, apparel, equipment, and accessories.\n- `🌚`: The 🌚 emoji is commonly referred to as \"New Moon Face\" and is used to represent various concepts related to darkness, nighttime, or a mysterious atmosphere.\n- `🐾`: The 🐾 emoji is commonly referred to as \"Paw Prints\" and is often used to express love for animals, represent pets, or symbolize a sense of adventure.\n- `https://t.co/NYIuOqktj3`: This is a URL that represents a web link." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 159, "promptTokens": 133, "totalTokens": 292 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "It saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3" }, "metavars": { "": "63", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "92e04a1a-0383-42b7-b7aa-cd4f16242fab", "responses": [ "- JWKeady: an individual (not found in a knowledge base)\n- Kaepernick7: Colin Kaepernick, an American football player and activist known for his protests against racial injustice\n- KillerMike: a stage name of Michael Render, an American rapper, actor, and activist\n- tmorello: Tom Morello, an American musician, singer, songwriter, and political activist\n- Nike: an American multinational corporation specializing in athletic shoes, apparel, and equipment\n- Just Do It: a marketing slogan used by Nike\n- TakeAKnee: a gesture of protest against racial injustice, popularized by Colin Kaepernick and other athletes\n- American: relates to citizens or residents of the United States \n- injustice: lack of fairness or justice in a situation or society\n- forefathers: ancestors or predecessors, usually referring to those who played a significant role in the founding of a country or organization" ], "raw_response": { "id": "chatcmpl-96mu1P1KmrkSQd9w8y94uLUj7yYNe", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- JWKeady: an individual (not found in a knowledge base)\n- Kaepernick7: Colin Kaepernick, an American football player and activist known for his protests against racial injustice\n- KillerMike: a stage name of Michael Render, an American rapper, actor, and activist\n- tmorello: Tom Morello, an American musician, singer, songwriter, and political activist\n- Nike: an American multinational corporation specializing in athletic shoes, apparel, and equipment\n- Just Do It: a marketing slogan used by Nike\n- TakeAKnee: a gesture of protest against racial injustice, popularized by Colin Kaepernick and other athletes\n- American: relates to citizens or residents of the United States \n- injustice: lack of fairness or justice in a situation or society\n- forefathers: ancestors or predecessors, usually referring to those who played a significant role in the founding of a country or organization" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 184, "promptTokens": 187, "totalTokens": 371 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;" }, "metavars": { "": "70", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line.\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nNike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line.\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "229127bb-c714-4ca4-9a2d-2850fcf8706e", "responses": [ "- Nike: Nike is a multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- JustDoIt: Just Do It is a famous slogan and advertising campaign by Nike, encouraging people to take action and push themselves to achieve their goals.\n- $43 million: This refers to the amount of free press that Nike received in the 24 hours after the Just Do It campaign, indicating a significant level of media attention and exposure.\n- Nike campaign: The Nike campaign mentioned in the tweet refers to the Just Do It campaign, which is a marketing initiative by Nike aimed at inspiring and motivating individuals to pursue their goals and dreams.\n- balls: The use of the word \"balls\" in this context appears to be metaphorical, conveying the idea of taking risks or challenging oneself to go beyond their comfort zone." ], "raw_response": { "id": "chatcmpl-96mu1Xn44tVOSjH6KoR3V5cBN4dTY", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is a multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- JustDoIt: Just Do It is a famous slogan and advertising campaign by Nike, encouraging people to take action and push themselves to achieve their goals.\n- $43 million: This refers to the amount of free press that Nike received in the 24 hours after the Just Do It campaign, indicating a significant level of media attention and exposure.\n- Nike campaign: The Nike campaign mentioned in the tweet refers to the Just Do It campaign, which is a marketing initiative by Nike aimed at inspiring and motivating individuals to pursue their goals and dreams.\n- balls: The use of the word \"balls\" in this context appears to be metaphorical, conveying the idea of taking risks or challenging oneself to go beyond their comfort zone." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 173, "promptTokens": 128, "totalTokens": 301 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Nike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line." }, "metavars": { "": "26", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nI’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nI’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "06511d6b-c308-4904-8404-e8fe7dd1e7bb", "responses": [ "- entity: memes\n description: Internet images or videos typically containing humorous captions, which are widely shared and circulated.\n- entity: #JustDoIt\n description: A hashtag commonly associated with Nike's slogan, encouraging people to take action and strive for greatness.\n- entity: Left\n description: A political ideology or group that generally supports social equality and progressive change.\n- entity: @realDonaldTrump\n description: The Twitter handle of Donald Trump, the 45th President of the United States.\n- entity: true American Patriots\n description: Supporters of American values, traditions, and the principles upheld by the United States Constitution.\n- entity: our job\n description: The collective responsibility or duty to contribute to a specific task or goal.\n- entity: @POTUS\n description: The official Twitter account representing the President of the United States." ], "raw_response": { "id": "chatcmpl-96mu13vftn21lK803p0NcLEB8oehA", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: memes\n description: Internet images or videos typically containing humorous captions, which are widely shared and circulated.\n- entity: #JustDoIt\n description: A hashtag commonly associated with Nike's slogan, encouraging people to take action and strive for greatness.\n- entity: Left\n description: A political ideology or group that generally supports social equality and progressive change.\n- entity: @realDonaldTrump\n description: The Twitter handle of Donald Trump, the 45th President of the United States.\n- entity: true American Patriots\n description: Supporters of American values, traditions, and the principles upheld by the United States Constitution.\n- entity: our job\n description: The collective responsibility or duty to contribute to a specific task or goal.\n- entity: @POTUS\n description: The official Twitter account representing the President of the United States." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 175, "promptTokens": 185, "totalTokens": 360 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "I’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l" }, "metavars": { "": "18", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nBelieve in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nBelieve in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "1973fdc4-f5f1-411c-8ec2-c239bf0567fe", "responses": [ "- ThrillBill: The person/entity named ThrillBill, possibly a DJ or entertainer.\n- Nike: A multinational corporation specializing in athletic footwear and apparel.\n- DJ ThrillBill: A DJ associated with ThrillBill, possibly part of the \"Just ThrillBill\" brand.\n- 704: Possibly a reference to an area code, typically associated with Charlotte, North Carolina.\n- CharLIT: Another reference to Charlotte, North Carolina, using a play on words combining \"Charlotte\" and \"lit.\"\n- The Coolest DJ in the World: A title or nickname given to DJ ThrillBill, suggesting recognition and popularity.\n- 😎: An emoji representing someone cool or stylish.\n- ThrillBillionaires: A group or community connected to ThrillBill, possibly comprised of fans or followers.\n- QCDJs: An organization or collective of DJs." ], "raw_response": { "id": "chatcmpl-96mu1g3k22OzTnXjrXEkEq6rB96o2", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- ThrillBill: The person/entity named ThrillBill, possibly a DJ or entertainer.\n- Nike: A multinational corporation specializing in athletic footwear and apparel.\n- DJ ThrillBill: A DJ associated with ThrillBill, possibly part of the \"Just ThrillBill\" brand.\n- 704: Possibly a reference to an area code, typically associated with Charlotte, North Carolina.\n- CharLIT: Another reference to Charlotte, North Carolina, using a play on words combining \"Charlotte\" and \"lit.\"\n- The Coolest DJ in the World: A title or nickname given to DJ ThrillBill, suggesting recognition and popularity.\n- 😎: An emoji representing someone cool or stylish.\n- ThrillBillionaires: A group or community connected to ThrillBill, possibly comprised of fans or followers.\n- QCDJs: An organization or collective of DJs." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 178, "promptTokens": 172, "totalTokens": 350 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Believe in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08" }, "metavars": { "": "71", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "9031f2c5-a84b-4fa3-bfdd-2ab1bf50016d", "responses": [ "- entity: Ts Madison\n description: Ts Madison is an American internet personality, model, dancer, and entertainer.\n- entity: Prime Video\n description: Prime Video is a video streaming service provided by Amazon.\n- entity: Isis King\n description: Isis King is an American fashion model, actress, and fashion designer who became known for being the first transgender woman to compete on the reality television show \"America's Next Top Model\".\n- entity: Arisce Wanzer (Ariscestocrat)\n description: Arisce Wanzer, also known as Ariscestocrat, is an American transgender model, actress, and reality television personality.\n- entity: FishTankSeries\n description: FishTankSeries is a web series created by Ts Madison that focuses on LGBTQ+ issues and personal stories.\n- entity: Maddie\n description: Maddie, referring to Ts Madison, is an American internet personality and entertainer known for her activism and empowerment of the transgender community." ], "raw_response": { "id": "chatcmpl-96mu1IO7YPim3W5A3pMm4sWLcaYQg", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Ts Madison\n description: Ts Madison is an American internet personality, model, dancer, and entertainer.\n- entity: Prime Video\n description: Prime Video is a video streaming service provided by Amazon.\n- entity: Isis King\n description: Isis King is an American fashion model, actress, and fashion designer who became known for being the first transgender woman to compete on the reality television show \"America's Next Top Model\".\n- entity: Arisce Wanzer (Ariscestocrat)\n description: Arisce Wanzer, also known as Ariscestocrat, is an American transgender model, actress, and reality television personality.\n- entity: FishTankSeries\n description: FishTankSeries is a web series created by Ts Madison that focuses on LGBTQ+ issues and personal stories.\n- entity: Maddie\n description: Maddie, referring to Ts Madison, is an American internet personality and entertainer known for her activism and empowerment of the transgender community." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 200, "promptTokens": 143, "totalTokens": 343 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt" }, "metavars": { "": "84", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "2bae72c5-8dfc-4bd3-b7f7-453d15ffdf89", "responses": [ "- Nike: a multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories.\n- Just Do It: a tagline and slogan used by Nike in their advertising campaigns.\n- Colin Kaepernick: a former American football quarterback known for his activism against racial injustice and police brutality.\n- NBC: an American television network.\n- CNN: an American news-based pay television channel.\n- Viral: referring to content that spreads rapidly and widely on the internet.\n- Marketing: the activity, set of institutions, and processes for creating, communicating, delivering, and exchanging offerings that have value for customers, clients, partners, and society at large.\n- Football: a team sport played with a spherical ball between two teams of eleven players.\n- Jesus: a religious figure central to Christianity, believed to be the Son of God.\n- NikeShoes: referring to the footwear products manufactured by Nike.\n- Believe: a strong conviction or acceptance that something is true or real.\n- Listen: the act of giving attention with the ear, or attending closely for the purpose of hearing.\n- BelieveInSomething: referring to Nike's campaign featuring Colin Kaepernick, encouraging people to stand up for what they believe in." ], "raw_response": { "id": "chatcmpl-96mu1lSb5gXBuaLtVDgbZ95PVlMMM", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories.\n- Just Do It: a tagline and slogan used by Nike in their advertising campaigns.\n- Colin Kaepernick: a former American football quarterback known for his activism against racial injustice and police brutality.\n- NBC: an American television network.\n- CNN: an American news-based pay television channel.\n- Viral: referring to content that spreads rapidly and widely on the internet.\n- Marketing: the activity, set of institutions, and processes for creating, communicating, delivering, and exchanging offerings that have value for customers, clients, partners, and society at large.\n- Football: a team sport played with a spherical ball between two teams of eleven players.\n- Jesus: a religious figure central to Christianity, believed to be the Son of God.\n- NikeShoes: referring to the footwear products manufactured by Nike.\n- Believe: a strong conviction or acceptance that something is true or real.\n- Listen: the act of giving attention with the ear, or attending closely for the purpose of hearing.\n- BelieveInSomething: referring to Nike's campaign featuring Colin Kaepernick, encouraging people to stand up for what they believe in." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 243, "promptTokens": 173, "totalTokens": 416 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL" }, "metavars": { "": "68", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nLead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nLead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "9c770f4a-9747-4161-89b2-9b4813754f88", "responses": [ "- ICM: ICM is a global leader in financial trading and investment, providing innovative trading platforms and tools to traders worldwide.\n- TRADERMONI: TRADERMONI is a government initiative in Nigeria that provides interest-free loans to small traders and businesses to enable them to grow and expand their operations.\n- FridayMotivation: FridayMotivation refers to the practice of sharing motivational content or quotes on social media on Fridays to encourage and inspire others to achieve their goals and stay motivated.\n- FeelGoodFriday: FeelGoodFriday is a weekly social media trend where users share positive and uplifting content to spread happiness and positivity among their followers.\n- FridayFeeling: FridayFeeling is a hashtag used on social media to express the excitement and anticipation people feel towards the weekend, specifically on Fridays. \n- JustDoIt: JustDoIt is a slogan and trademark of the sportswear company Nike, often used to motivate individuals to take action and pursue their dreams and goals." ], "raw_response": { "id": "chatcmpl-96mu1V6rZMEDXiYbTcE0TUPvFFHcq", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- ICM: ICM is a global leader in financial trading and investment, providing innovative trading platforms and tools to traders worldwide.\n- TRADERMONI: TRADERMONI is a government initiative in Nigeria that provides interest-free loans to small traders and businesses to enable them to grow and expand their operations.\n- FridayMotivation: FridayMotivation refers to the practice of sharing motivational content or quotes on social media on Fridays to encourage and inspire others to achieve their goals and stay motivated.\n- FeelGoodFriday: FeelGoodFriday is a weekly social media trend where users share positive and uplifting content to spread happiness and positivity among their followers.\n- FridayFeeling: FridayFeeling is a hashtag used on social media to express the excitement and anticipation people feel towards the weekend, specifically on Fridays. \n- JustDoIt: JustDoIt is a slogan and trademark of the sportswear company Nike, often used to motivate individuals to take action and pursue their dreams and goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 196, "promptTokens": 147, "totalTokens": 343 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Lead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq" }, "metavars": { "": "9", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "2be685f2-d4b8-402a-8478-86770f55e547", "responses": [ "- @realDonaldTrump: Donald John Trump is an American businessman, television personality, and politician who served as the 45th president of the United States from 2017 to 2021.\n- @Nike: Nike, Inc. is an American multinational corporation that designs, manufactures, and markets athletic footwear, apparel, equipment, and accessories.\n- Nike: Nike, Inc. is an American multinational corporation that designs, manufactures, and markets athletic footwear, apparel, equipment, and accessories.\n- #JustDoIt: Just Do It is a slogan used by the global sports company Nike, encouraging individuals to push through limitations and achieve their goals.\n- #JustDoIt: Just Do It is a slogan used by the global sports company Nike, encouraging individuals to push through limitations and achieve their goals.\n- #StandForSomething: Stand For Something is a concept that implies taking a stance on important issues and supporting causes that align with one's values.\n- #TakeTheKnee: Take the Knee is a symbolic act first started in 2016 as a form of protest against racial injustice and police brutality in the United States." ], "raw_response": { "id": "chatcmpl-96mu186jpqxdjt8iixHKLaKJluG6F", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- @realDonaldTrump: Donald John Trump is an American businessman, television personality, and politician who served as the 45th president of the United States from 2017 to 2021.\n- @Nike: Nike, Inc. is an American multinational corporation that designs, manufactures, and markets athletic footwear, apparel, equipment, and accessories.\n- Nike: Nike, Inc. is an American multinational corporation that designs, manufactures, and markets athletic footwear, apparel, equipment, and accessories.\n- #JustDoIt: Just Do It is a slogan used by the global sports company Nike, encouraging individuals to push through limitations and achieve their goals.\n- #JustDoIt: Just Do It is a slogan used by the global sports company Nike, encouraging individuals to push through limitations and achieve their goals.\n- #StandForSomething: Stand For Something is a concept that implies taking a stance on important issues and supporting causes that align with one's values.\n- #TakeTheKnee: Take the Knee is a symbolic act first started in 2016 as a form of protest against racial injustice and police brutality in the United States." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 225, "promptTokens": 128, "totalTokens": 353 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee" }, "metavars": { "": "46", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nSlave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nSlave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "10b3f932-fb8e-471c-8bd2-952a17168719", "responses": [ "- Slave owners: Individuals who owned and controlled enslaved people during periods of history, particularly in the context of the transatlantic slave trade and chattel slavery.\n- Private prisons: Facilities operated by private companies, for profit, intended to incarcerate individuals who have been convicted of crimes.\n- Black men and women: Refers to individuals of African or African diaspora descent, highlighting their racial or ethnic identity.\n- Nike: A multinational corporation specializing in the design, manufacturing, and sales of athletic clothing, footwear, equipment, and accessories.\n- Kaepernick: Referring to Colin Kaepernick, a former professional American football player known for his protests against racial injustice and police brutality by taking a knee during the national anthem.\n- Racial injustice: A concept highlighting unequal treatment, discrimination, or prejudice experienced by individuals solely based on their race.\n- Hashtags such as #nike, #JustDoIt, #Kaepernick, and #TakeAKnee are not considered entities for this task." ], "raw_response": { "id": "chatcmpl-96mu1MP5ShR9kSn5wIW2aVBl7l15R", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- Slave owners: Individuals who owned and controlled enslaved people during periods of history, particularly in the context of the transatlantic slave trade and chattel slavery.\n- Private prisons: Facilities operated by private companies, for profit, intended to incarcerate individuals who have been convicted of crimes.\n- Black men and women: Refers to individuals of African or African diaspora descent, highlighting their racial or ethnic identity.\n- Nike: A multinational corporation specializing in the design, manufacturing, and sales of athletic clothing, footwear, equipment, and accessories.\n- Kaepernick: Referring to Colin Kaepernick, a former professional American football player known for his protests against racial injustice and police brutality by taking a knee during the national anthem.\n- Racial injustice: A concept highlighting unequal treatment, discrimination, or prejudice experienced by individuals solely based on their race.\n- Hashtags such as #nike, #JustDoIt, #Kaepernick, and #TakeAKnee are not considered entities for this task." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 197, "promptTokens": 157, "totalTokens": 354 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Slave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee" }, "metavars": { "": "87", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThis is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nThis is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "8d457d98-fe47-4ebb-8ca4-91b105a13665", "responses": [ "- entity: Nike\n - description: Nike is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- entity: Colin Kaepernick\n - description: Colin Kaepernick is a former football quarterback who gained attention for protesting against racial injustice and police brutality by kneeling during the national anthem before NFL games.\n- entity: America\n - description: America, also known as the United States of America (USA), is a country located primarily in North America. It consists of 50 states, a federal district, five major self-governing territories, 326 Indian reservations, and some minor possessions.\n- entity: NFL\n - description: The National Football League (NFL) is a professional American football league consisting of 32 teams, divided equally between the National Football Conference (NFC) and the American Football Conference (AFC).\n- entity: Stevie Wonder\n - description: Stevie Wonder is an American singer, songwriter, musician, and record producer. A prominent figure in popular music during the second half of the 20th century, he is known for his soulful voice and his contributions to various genres including R&B, pop, funk, and jazz." ], "raw_response": { "id": "chatcmpl-96mu1Wrm5n5nl0917fYN3FcPpdVBs", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike\n - description: Nike is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- entity: Colin Kaepernick\n - description: Colin Kaepernick is a former football quarterback who gained attention for protesting against racial injustice and police brutality by kneeling during the national anthem before NFL games.\n- entity: America\n - description: America, also known as the United States of America (USA), is a country located primarily in North America. It consists of 50 states, a federal district, five major self-governing territories, 326 Indian reservations, and some minor possessions.\n- entity: NFL\n - description: The National Football League (NFL) is a professional American football league consisting of 32 teams, divided equally between the National Football Conference (NFC) and the American Football Conference (AFC).\n- entity: Stevie Wonder\n - description: Stevie Wonder is an American singer, songwriter, musician, and record producer. A prominent figure in popular music during the second half of the 20th century, he is known for his soulful voice and his contributions to various genres including R&B, pop, funk, and jazz." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 258, "promptTokens": 147, "totalTokens": 405 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "This is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd" }, "metavars": { "": "88", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "67cfa50d-2409-4b1d-90ef-8c5382a4707e", "responses": [ "- entity: Madrian Norman\n description: A Twitter user with the handle \"@madriannorman\".\n- entity: Nike\n description: Nike is an American multinational corporation that designs, develops, and manufactures athletic and casual footwear, apparel, equipment, and accessories. Nike is one of the world's largest suppliers of athletic shoes and apparel.\n- entity: Colin Kaepernick\n description: Colin Kaepernick, also known as @Kaepernick7 on Twitter, is a former professional American football quarterback and a civil rights activist. He is known for his protests against racial injustice and police brutality by kneeling during the national anthem at NFL games.\n- entity: A Fly\n description: A fly is a small insect typically characterized by a brown body and transparent wings. Flies are known for their ability to annoy and irritate humans and animals.\n- entity: Shit\n description: Shit refers to feces or excrement. It is a vulgar term used to express disgust or contempt.\n- entity: Just Do It\n description: Just Do It is a slogan used by Nike to inspire people to take action and pursue their goals without hesitation or fear." ], "raw_response": { "id": "chatcmpl-96mu1NYmSmWTEZhuBmepTwm7dz1jr", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Madrian Norman\n description: A Twitter user with the handle \"@madriannorman\".\n- entity: Nike\n description: Nike is an American multinational corporation that designs, develops, and manufactures athletic and casual footwear, apparel, equipment, and accessories. Nike is one of the world's largest suppliers of athletic shoes and apparel.\n- entity: Colin Kaepernick\n description: Colin Kaepernick, also known as @Kaepernick7 on Twitter, is a former professional American football quarterback and a civil rights activist. He is known for his protests against racial injustice and police brutality by kneeling during the national anthem at NFL games.\n- entity: A Fly\n description: A fly is a small insect typically characterized by a brown body and transparent wings. Flies are known for their ability to annoy and irritate humans and animals.\n- entity: Shit\n description: Shit refers to feces or excrement. It is a vulgar term used to express disgust or contempt.\n- entity: Just Do It\n description: Just Do It is a slogan used by Nike to inspire people to take action and pursue their goals without hesitation or fear." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 233, "promptTokens": 128, "totalTokens": 361 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt" }, "metavars": { "": "79", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nMr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nMr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "6f096bb0-e2ca-405c-8790-a41ec7a5a5ff", "responses": [ "- entity: Mr\n - description: a title used before a man's name or surname\n- entity: IQ45\n - description: a nickname used to refer to the 45th President of the United States, Donald Trump\n- entity: Mitch McConnell\n - description: an American politician serving as the senior United States Senator from Kentucky, and as the Senate Majority Leader\n- entity: SenateMajLdr\n - description: a Twitter handle used by Mitch McConnell, the Senate Majority Leader\n- entity: GOP\n - description: an abbreviation for the Grand Old Party, referring to the Republican Party in the United States\n- entity: presObama\n - description: a nickname used to refer to the 44th President of the United States, Barack Obama\n- entity: Niki\n - description: it is not clear who this entity refers to, as there is no specific information available\n- entity: Kaepernick\n - description: refers to Colin Kaepernick, a former American football quarterback known for his activism and protests during the national anthem\n- entity: JustDoIt\n - description: a slogan associated with the sports company Nike, often used as encouragement or motivation. It is also the name of a popular hashtag campaign by Nike." ], "raw_response": { "id": "chatcmpl-96mu1ulPi15coXsAXzVJQ8cwTaQzs", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Mr\n - description: a title used before a man's name or surname\n- entity: IQ45\n - description: a nickname used to refer to the 45th President of the United States, Donald Trump\n- entity: Mitch McConnell\n - description: an American politician serving as the senior United States Senator from Kentucky, and as the Senate Majority Leader\n- entity: SenateMajLdr\n - description: a Twitter handle used by Mitch McConnell, the Senate Majority Leader\n- entity: GOP\n - description: an abbreviation for the Grand Old Party, referring to the Republican Party in the United States\n- entity: presObama\n - description: a nickname used to refer to the 44th President of the United States, Barack Obama\n- entity: Niki\n - description: it is not clear who this entity refers to, as there is no specific information available\n- entity: Kaepernick\n - description: refers to Colin Kaepernick, a former American football quarterback known for his activism and protests during the national anthem\n- entity: JustDoIt\n - description: a slogan associated with the sports company Nike, often used as encouragement or motivation. It is also the name of a popular hashtag campaign by Nike." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 260, "promptTokens": 137, "totalTokens": 397 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Mr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt" }, "metavars": { "": "44", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nModeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nModeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "4534e3f2-6d93-4958-a33b-075a4b49c7ba", "responses": [ "- entity: Modeling\n description: The profession or activity of creating and presenting designs for garments and accessories.\n- entity: runway\n description: A long narrow platform on which models walk to display clothes during a fashion show.\n- entity: clothes\n description: Items worn to cover and protect the body.\n- entity: Friday\n description: The day of the week that follows Thursday and precedes Saturday.\n- entity: Nike\n description: An American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- entity: Kaepernick7\n description: Colin Kaepernick, an American football quarterback who played in the National Football League (NFL). The number 7 refers to his jersey number.\n- entity: justdoit\n description: The slogan of Nike, used to encourage and motivate individuals to take action and pursue their goals.\n- entity: @Kaepernick7\n description: Colin Kaepernick's Twitter handle.\n- entity: @Nike\n description: Nike's official Twitter account.\n- entity: @nikesportswear\n description: Nike's Twitter account specifically dedicated to sportswear.\n- entity: @nikewomen\n description: Nike's Twitter account focused on women's sports and apparel.\n- entity: FridayFeeling\n description: A social media hashtag often used to express excitement or joy on Fridays.\n- entity: FridayMotivation\n description: A social media hashtag often used to inspire and motivate others on Fridays." ], "raw_response": { "id": "chatcmpl-96mu1Q4iPdt6ZPBAfapdlyqpIRQz6", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Modeling\n description: The profession or activity of creating and presenting designs for garments and accessories.\n- entity: runway\n description: A long narrow platform on which models walk to display clothes during a fashion show.\n- entity: clothes\n description: Items worn to cover and protect the body.\n- entity: Friday\n description: The day of the week that follows Thursday and precedes Saturday.\n- entity: Nike\n description: An American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- entity: Kaepernick7\n description: Colin Kaepernick, an American football quarterback who played in the National Football League (NFL). The number 7 refers to his jersey number.\n- entity: justdoit\n description: The slogan of Nike, used to encourage and motivate individuals to take action and pursue their goals.\n- entity: @Kaepernick7\n description: Colin Kaepernick's Twitter handle.\n- entity: @Nike\n description: Nike's official Twitter account.\n- entity: @nikesportswear\n description: Nike's Twitter account specifically dedicated to sportswear.\n- entity: @nikewomen\n description: Nike's Twitter account focused on women's sports and apparel.\n- entity: FridayFeeling\n description: A social media hashtag often used to express excitement or joy on Fridays.\n- entity: FridayMotivation\n description: A social media hashtag often used to inspire and motivate others on Fridays." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 316, "promptTokens": 183, "totalTokens": 499 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Modeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB" }, "metavars": { "": "21", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nAll Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\nAll Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "bc94d788-066b-45a6-89db-4669cdf4c406", "responses": [ "- entity: Protest\n description: A form of expressing dissent or objection towards a particular cause or issue.\n- entity: Progess\n description: The process of moving forward or making advancements in various aspects of life.\n- entity: Kaepernick\n description: Refers to Colin Kaepernick, a former American football player known for his activism against racial injustice and police brutality.\n- entity: JustDoIt\n description: A slogan used by the sportswear brand Nike to inspire people to take action and pursue their goals.\n- entity: Nike\n description: A multinational corporation specializing in the design, manufacturing, and marketing of athletic footwear, apparel, and accessories.\n- entity: OWNTV\n description: Refers to Oprah Winfrey Network (OWN), a television channel established by media mogul Oprah Winfrey.\n- entity: TheEllenShow\n description: The nickname for the talk show \"The Ellen DeGeneres Show,\" hosted by American comedian and television personality Ellen DeGeneres.\n- entity: BETNews\n description: Stands for Black Entertainment Television (BET) News, a television channel focused on African American-oriented programming.\n- entity: BeYou\n description: A phrase emphasizing the importance of embracing one's true self and individuality.\n- entity: livelaughlove\n description: A phrase often used to encourage positivity and a joyful outlook on life.\n- entity: Smile\n description: A facial expression that conveys happiness, amusement, or friendliness." ], "raw_response": { "id": "chatcmpl-96mu1yHG6eZDL0akGwsaSP9Xncv2P", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Protest\n description: A form of expressing dissent or objection towards a particular cause or issue.\n- entity: Progess\n description: The process of moving forward or making advancements in various aspects of life.\n- entity: Kaepernick\n description: Refers to Colin Kaepernick, a former American football player known for his activism against racial injustice and police brutality.\n- entity: JustDoIt\n description: A slogan used by the sportswear brand Nike to inspire people to take action and pursue their goals.\n- entity: Nike\n description: A multinational corporation specializing in the design, manufacturing, and marketing of athletic footwear, apparel, and accessories.\n- entity: OWNTV\n description: Refers to Oprah Winfrey Network (OWN), a television channel established by media mogul Oprah Winfrey.\n- entity: TheEllenShow\n description: The nickname for the talk show \"The Ellen DeGeneres Show,\" hosted by American comedian and television personality Ellen DeGeneres.\n- entity: BETNews\n description: Stands for Black Entertainment Television (BET) News, a television channel focused on African American-oriented programming.\n- entity: BeYou\n description: A phrase emphasizing the importance of embracing one's true self and individuality.\n- entity: livelaughlove\n description: A phrase often used to encourage positivity and a joyful outlook on life.\n- entity: Smile\n description: A facial expression that conveys happiness, amusement, or friendliness." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 306, "promptTokens": 195, "totalTokens": 501 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "All Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om" }, "metavars": { "": "99", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b6aa7d8f-6a7e-42b4-9aec-a80972d0e00a", "responses": [ "- beerscouts: Beerscouts is a social media account or group related to beer enthusiasts.\n- LindseyGrahamSC: Lindsey Graham is an American politician and lawyer who serves as the senior United States Senator from South Carolina.\n- SenatorCollins: Senator Collins refers to Susan Collins, an American politician serving as the senior United States Senator for Maine.\n- JeffFlake: Jeff Flake is an American politician who served as the United States Senator from Arizona.\n- marcorubio: Marco Rubio is an American politician serving as the senior United States Senator from Florida.\n- SenSasse: Senator Sasse refers to Ben Sasse, an American politician serving as the junior United States Senator from Nebraska.\n- SenatorIsakson: Senator Isakson refers to Johnny Isakson, an American politician who served as the senior United States Senator from Georgia.\n- sendavidperdue: Senator David Perdue is an American businessman and politician serving as the junior United States Senator from Georgia.\n- senrobportman: Senator Rob Portman is an American attorney and politician serving as the junior United States Senator from Ohio.\n- SenBobCorker: Senator Bob Corker refers to Bob Corker, a retired American politician who served as the United States Senator from Tennessee.\n- lisamurkowski: Lisa Murkowski is an American politician serving as the senior United States Senator from Alaska.\n- RepErikPaulsen: Representative Erik Paulsen refers to Erik Paulsen, an American politician who served as the United States Representative for Minnesota's 3rd congressional district.\n- SenatorLankford: Senator James Lankford is an American politician serving as the junior United States Senator from Oklahoma.\n- SenatorBurr: Senator Burr refers to Richard Burr, an American businessman and politician who served as the senior United States Senator from North Carolina.\n- BillCassidy: Bill Cassidy is an American physician and politician serving as the senior United States Senator from Louisiana.\n- SenPatRoberts: Senator Pat Roberts refers to Pat Roberts, a retired American politician who served as the United States Senator from Kansas." ], "raw_response": { "id": "chatcmpl-96mu1zha77is4Sw2bAvMexC9Ygo39", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- beerscouts: Beerscouts is a social media account or group related to beer enthusiasts.\n- LindseyGrahamSC: Lindsey Graham is an American politician and lawyer who serves as the senior United States Senator from South Carolina.\n- SenatorCollins: Senator Collins refers to Susan Collins, an American politician serving as the senior United States Senator for Maine.\n- JeffFlake: Jeff Flake is an American politician who served as the United States Senator from Arizona.\n- marcorubio: Marco Rubio is an American politician serving as the senior United States Senator from Florida.\n- SenSasse: Senator Sasse refers to Ben Sasse, an American politician serving as the junior United States Senator from Nebraska.\n- SenatorIsakson: Senator Isakson refers to Johnny Isakson, an American politician who served as the senior United States Senator from Georgia.\n- sendavidperdue: Senator David Perdue is an American businessman and politician serving as the junior United States Senator from Georgia.\n- senrobportman: Senator Rob Portman is an American attorney and politician serving as the junior United States Senator from Ohio.\n- SenBobCorker: Senator Bob Corker refers to Bob Corker, a retired American politician who served as the United States Senator from Tennessee.\n- lisamurkowski: Lisa Murkowski is an American politician serving as the senior United States Senator from Alaska.\n- RepErikPaulsen: Representative Erik Paulsen refers to Erik Paulsen, an American politician who served as the United States Representative for Minnesota's 3rd congressional district.\n- SenatorLankford: Senator James Lankford is an American politician serving as the junior United States Senator from Oklahoma.\n- SenatorBurr: Senator Burr refers to Richard Burr, an American businessman and politician who served as the senior United States Senator from North Carolina.\n- BillCassidy: Bill Cassidy is an American physician and politician serving as the senior United States Senator from Louisiana.\n- SenPatRoberts: Senator Pat Roberts refers to Pat Roberts, a retired American politician who served as the United States Senator from Kansas." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 421, "promptTokens": 185, "totalTokens": 606 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit" }, "metavars": { "": "94", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "ea929fb6-2988-4319-814f-125a199010eb", "responses": [ "- entity: Miss America\n description: Miss America is a scholarship pageant that awards scholarships to young women from the 50 states, Washington, D.C., and Virgin Islands.\n- entity: JobsReport\n description: JobsReport refers to a report that provides information about the current employment situation and job market in a specific country.\n- entity: Nike\n description: Nike is a multinational corporation that designs, develops, and manufactures athletic shoes, apparel, and sports equipment.\n- entity: GOT7\n description: GOT7 is a South Korean boy band formed by JYP Entertainment, known for their energetic performances and catchy songs.\n- entity: JustDoIt\n description: JustDoIt is a motivational slogan and trademark of Nike, often associated with sports and physical activity.\n- entity: FEMA\n description: FEMA, or the Federal Emergency Management Agency, is an agency of the United States Department of Homeland Security that helps communities prepare for, respond to, and recover from disasters.\n- entity: TV3GH\n description: TV3GH is a television network in Ghana, providing a wide range of programming including news, entertainment, and sports.\n- entity: SpiderMan\n description: SpiderMan is a fictional superhero created by writer Stan Lee and artist Steve Ditko, known for his spider-like abilities and crime-fighting adventures.\n- entity: KaepernickNikeAd\n description: KaepernickNikeAd refers to a controversial ad campaign by Nike featuring American football player Colin Kaepernick, known for his protests against racial injustice.\n- entity: slaveryremembranceday\n description: Slavery Remembrance Day is a memorial observed in some countries to remember and reflect upon the history and impact of the transatlantic slave trade.\n- entity: MudaSuksesMenang\n description: MudaSuksesMenang is not a recognized entity in a knowledge base like Wikipedia, hence it cannot be described.\n- entity: FridayFeeling\n description: FridayFeeling refers to the excitement and positive emotions associated with the end of the workweek and the arrival of the weekend.\n- entity: NationalBeerLoversDay\n description: National Beer Lovers Day is a day dedicated to celebrating and enjoying the culture, history, and diversity of beer.\n- entity: Eminemvsmgk\n description: Eminemvsmgk is not a recognized entity in a knowledge base like Wikipedia, hence it cannot be described.\n- entity: Nas\n description: Nas is an American rapper, songwriter, and entrepreneur known for his influential contributions to hip hop music.\n- entity: Kelis\n description: Kelis is an American singer, songwriter, and chef, known for her eclectic musical style and hits like \"Milkshake.\"\n- entity: Kanye\n description: Kanye West is an American rapper, songwriter, and record producer, known for his distinct musical style and controversial public persona.\n- entity: INDRAKETUJUHEPS38\n description: INDRAKETUJUHEPS38 is not a recognized entity in a knowledge base like Wikipedia, hence it cannot be described." ], "raw_response": { "id": "chatcmpl-96mu1wmMOvuOxnnvT3Zy46eo7cwo5", "created": "1970-01-20T19:23:24.977Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Miss America\n description: Miss America is a scholarship pageant that awards scholarships to young women from the 50 states, Washington, D.C., and Virgin Islands.\n- entity: JobsReport\n description: JobsReport refers to a report that provides information about the current employment situation and job market in a specific country.\n- entity: Nike\n description: Nike is a multinational corporation that designs, develops, and manufactures athletic shoes, apparel, and sports equipment.\n- entity: GOT7\n description: GOT7 is a South Korean boy band formed by JYP Entertainment, known for their energetic performances and catchy songs.\n- entity: JustDoIt\n description: JustDoIt is a motivational slogan and trademark of Nike, often associated with sports and physical activity.\n- entity: FEMA\n description: FEMA, or the Federal Emergency Management Agency, is an agency of the United States Department of Homeland Security that helps communities prepare for, respond to, and recover from disasters.\n- entity: TV3GH\n description: TV3GH is a television network in Ghana, providing a wide range of programming including news, entertainment, and sports.\n- entity: SpiderMan\n description: SpiderMan is a fictional superhero created by writer Stan Lee and artist Steve Ditko, known for his spider-like abilities and crime-fighting adventures.\n- entity: KaepernickNikeAd\n description: KaepernickNikeAd refers to a controversial ad campaign by Nike featuring American football player Colin Kaepernick, known for his protests against racial injustice.\n- entity: slaveryremembranceday\n description: Slavery Remembrance Day is a memorial observed in some countries to remember and reflect upon the history and impact of the transatlantic slave trade.\n- entity: MudaSuksesMenang\n description: MudaSuksesMenang is not a recognized entity in a knowledge base like Wikipedia, hence it cannot be described.\n- entity: FridayFeeling\n description: FridayFeeling refers to the excitement and positive emotions associated with the end of the workweek and the arrival of the weekend.\n- entity: NationalBeerLoversDay\n description: National Beer Lovers Day is a day dedicated to celebrating and enjoying the culture, history, and diversity of beer.\n- entity: Eminemvsmgk\n description: Eminemvsmgk is not a recognized entity in a knowledge base like Wikipedia, hence it cannot be described.\n- entity: Nas\n description: Nas is an American rapper, songwriter, and entrepreneur known for his influential contributions to hip hop music.\n- entity: Kelis\n description: Kelis is an American singer, songwriter, and chef, known for her eclectic musical style and hits like \"Milkshake.\"\n- entity: Kanye\n description: Kanye West is an American rapper, songwriter, and record producer, known for his distinct musical style and controversial public persona.\n- entity: INDRAKETUJUHEPS38\n description: INDRAKETUJUHEPS38 is not a recognized entity in a knowledge base like Wikipedia, hence it cannot be described." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 634, "promptTokens": 200, "totalTokens": 834 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP" }, "metavars": { "": "32", "__pt": "You will be doing named entity recognition (NER). Extract all entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "1e2b4f94-40f3-4438-bcd3-ecbcd8a2dbc8", "responses": [ "- JWKeady: American activist and author\n- Kaepernick7: American football quarterback and civil rights activist\n- KillerMike: American rapper, activist, and actor" ], "raw_response": { "id": "chatcmpl-96mug1YesanQnmorheBpSTgdxQvIJ", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- JWKeady: American activist and author\n- Kaepernick7: American football quarterback and civil rights activist\n- KillerMike: American rapper, activist, and actor" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 34, "promptTokens": 192, "totalTokens": 226 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;" }, "metavars": { "": "70", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "76feef81-5d6d-4104-86ab-a961898e80d5", "responses": [ "- Michael Jackson: The \"King of Pop\", Michael Jackson was an American singer, songwriter, and dancer who is regarded as one of the greatest entertainers in the history of music." ], "raw_response": { "id": "chatcmpl-96mugcZ2OQcLWwHpXvLFpHreoBLZ1", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Michael Jackson: The \"King of Pop\", Michael Jackson was an American singer, songwriter, and dancer who is regarded as one of the greatest entertainers in the history of music." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 37, "promptTokens": 139, "totalTokens": 176 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "You knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo" }, "metavars": { "": "74", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDone is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDone is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b4d8d403-ed4c-4b06-9638-d314d87202a3", "responses": [ "- Sheryl Sandberg: Sheryl Sandberg is an American technology executive, author, and billionaire philanthropist. She is the Chief Operating Officer (COO) of Facebook and the founder of LeanIn.Org." ], "raw_response": { "id": "chatcmpl-96mugOgxebslB7NHoYLd1KvzgDfWM", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Sheryl Sandberg: Sheryl Sandberg is an American technology executive, author, and billionaire philanthropist. She is the Chief Operating Officer (COO) of Facebook and the founder of LeanIn.Org." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 45, "promptTokens": 136, "totalTokens": 181 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Done is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6" }, "metavars": { "": "0", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThe @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThe @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "2483cf6b-f5de-4260-adac-f9b5f6e42fb5", "responses": [ "- Elon Musk: Entrepreneur and business magnate, known for his role in creating companies like Tesla, SpaceX, and Neuralink.\n" ], "raw_response": { "id": "chatcmpl-96mugpuNODv1SiqYLDQEHfqkeIXUT", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Elon Musk: Entrepreneur and business magnate, known for his role in creating companies like Tesla, SpaceX, and Neuralink.\n" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 26, "promptTokens": 129, "totalTokens": 155 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "The @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy" }, "metavars": { "": "34", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c82e10bf-d8ec-490f-9c09-e8bf58c0e2bf", "responses": [ "- Washington Post: A major American daily newspaper known for its coverage of national and international news.\n- Nike: A multinational corporation known for its sports apparel, shoes, and equipment.\n- DJT: An abbreviation commonly used to refer to Donald J. Trump, the 45th President of the United States." ], "raw_response": { "id": "chatcmpl-96mugEDKYXdUlxJltq62q9TEL42hv", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Washington Post: A major American daily newspaper known for its coverage of national and international news.\n- Nike: A multinational corporation known for its sports apparel, shoes, and equipment.\n- DJT: An abbreviation commonly used to refer to Donald J. Trump, the 45th President of the United States." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 62, "promptTokens": 137, "totalTokens": 199 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018" }, "metavars": { "": "64", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIt saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIt saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "d83c034b-7904-4f37-8e5f-64be86f493dd", "responses": [ "- Nike: A well-known global sports apparel and footwear company.\n- Just Do It: Nike's famous slogan encouraging people to take action and overcome obstacles.\n- Twitter: A popular social media platform where users can post and interact with short messages called tweets." ], "raw_response": { "id": "chatcmpl-96mugWs31YrsbXAw1EDjuFIk2TUte", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A well-known global sports apparel and footwear company.\n- Just Do It: Nike's famous slogan encouraging people to take action and overcome obstacles.\n- Twitter: A popular social media platform where users can post and interact with short messages called tweets." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 51, "promptTokens": 138, "totalTokens": 189 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "It saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3" }, "metavars": { "": "63", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "09529e9e-7bf2-4bc0-9cc6-1e2352e86edf", "responses": [ "- Nike: A multinational corporation known for designing, manufacturing, and selling athletic footwear, apparel, equipment, and accessories.\n- Rena: It's not clear who Rena is without further context.\n- Kap: It's not clear who Kap is without further context." ], "raw_response": { "id": "chatcmpl-96mugmx4nnkU7EEdjRDHeyWaycJbF", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation known for designing, manufacturing, and selling athletic footwear, apparel, equipment, and accessories.\n- Rena: It's not clear who Rena is without further context.\n- Kap: It's not clear who Kap is without further context." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 52, "promptTokens": 175, "totalTokens": 227 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Just left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann" }, "metavars": { "": "40", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "d5469f81-e740-435f-a1e4-92c6547ff907", "responses": [ "- entity: Nike \n description: A well-known sportswear brand.\n- entity: Joseph Randle \n description: A former professional American football player who played as a running back for the Dallas Cowboys.\n- entity: Dallas Cowboys \n description: A professional American football team based in Dallas, Texas." ], "raw_response": { "id": "chatcmpl-96mugmOuSj3cnx6r9snHaWWMW9wRa", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike \n description: A well-known sportswear brand.\n- entity: Joseph Randle \n description: A former professional American football player who played as a running back for the Dallas Cowboys.\n- entity: Dallas Cowboys \n description: A professional American football team based in Dallas, Texas." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 63, "promptTokens": 137, "totalTokens": 200 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb" }, "metavars": { "": "39", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line.\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line.\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "cf82f271-84c8-49ab-a47e-cccb3726cc24", "responses": [ "- Nike: A multinational corporation that specializes in the design, development, and marketing of athletic apparel, footwear, equipment, and accessories.\n- Just Do It: A slogan created by Nike, encouraging individuals to push their boundaries, take risks, and fulfill their potential." ], "raw_response": { "id": "chatcmpl-96mugbKke2U4d8MpHBSXFvbfvYYFg", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that specializes in the design, development, and marketing of athletic apparel, footwear, equipment, and accessories.\n- Just Do It: A slogan created by Nike, encouraging individuals to push their boundaries, take risks, and fulfill their potential." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 53, "promptTokens": 133, "totalTokens": 186 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Nike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line." }, "metavars": { "": "26", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "68acd884-650b-43a2-b5b4-328d21949af4", "responses": [ "- Nike: A multinational corporation specializing in athletic footwear, apparel, and accessories.\n- Just Do It: A famous slogan used by Nike in its marketing campaigns to encourage people to pursue their goals and dreams." ], "raw_response": { "id": "chatcmpl-96mug1J4uIqSYDGommHmCvvWipTby", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation specializing in athletic footwear, apparel, and accessories.\n- Just Do It: A famous slogan used by Nike in its marketing campaigns to encourage people to pursue their goals and dreams." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 41, "promptTokens": 135, "totalTokens": 176 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt" }, "metavars": { "": "7", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "73f5ff39-46ce-499c-b87f-c5f0c28608c1", "responses": [ "- @tgirlmiller: A Twitter user.\n- @realDonaldTrump: Donald Trump, the 45th President of the United States.\n- Nike: A well-known multinational corporation that designs and manufactures footwear, apparel, equipment, and accessories." ], "raw_response": { "id": "chatcmpl-96muguXG999PqRfAHvZRqtAhgg4ls", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- @tgirlmiller: A Twitter user.\n- @realDonaldTrump: Donald Trump, the 45th President of the United States.\n- Nike: A well-known multinational corporation that designs and manufactures footwear, apparel, equipment, and accessories." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 49, "promptTokens": 152, "totalTokens": 201 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm" }, "metavars": { "": "35", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b7f52923-8cc2-4eee-b5ed-a3f1afbf8067", "responses": [ "- Nike: a well-known multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a well-known slogan coined by Nike encouraging individuals to take action and pursue their goals." ], "raw_response": { "id": "chatcmpl-96mugi1L59N1ZrUCU2jBU6ScWv2wu", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a well-known multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a well-known slogan coined by Nike encouraging individuals to take action and pursue their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 47, "promptTokens": 130, "totalTokens": 177 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2" }, "metavars": { "": "52", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nLead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nLead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "5411ee35-0f92-45b1-8fdb-b95bcd918193", "responses": [ "- ICM: ICM stands for International Capital Market, a leading online trading platform for forex, CFDs, and commodities.\n- TRADERMONI: TraderMoni is a social intervention program in Nigeria that provides loans to small-scale traders." ], "raw_response": { "id": "chatcmpl-96mugTE2ZfDEYSdpXgvYkfbYVPBNB", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- ICM: ICM stands for International Capital Market, a leading online trading platform for forex, CFDs, and commodities.\n- TRADERMONI: TraderMoni is a social intervention program in Nigeria that provides loans to small-scale traders." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 51, "promptTokens": 152, "totalTokens": 203 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Lead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq" }, "metavars": { "": "9", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "19ac4ebb-d965-4eae-96f1-2624d14c64df", "responses": [ "- entity: Nike: a multinational corporation that designs, develops, and manufactures footwear and apparel\n- entity: Nike Store: a physical or online retail store operated by Nike\n- entity: #JustDoIt: a famous marketing slogan used by Nike as an encouragement to take action and pursue one's goals" ], "raw_response": { "id": "chatcmpl-96mugRinsy3m7mBbmbUdJJbxrJTZB", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike: a multinational corporation that designs, develops, and manufactures footwear and apparel\n- entity: Nike Store: a physical or online retail store operated by Nike\n- entity: #JustDoIt: a famous marketing slogan used by Nike as an encouragement to take action and pursue one's goals" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 61, "promptTokens": 130, "totalTokens": 191 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP" }, "metavars": { "": "97", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAnd they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAnd they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "074ce2e0-5566-46c4-aea2-0ec0cf6fa86a", "responses": [ "- Nike: a multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, accessories, and services.\n- JustDoIt: a famous Nike slogan that encourages individuals to step out of their comfort zone and take action.\n- Media: a collective communication outlets or tools used to store and deliver information or data to a broad audience." ], "raw_response": { "id": "chatcmpl-96mugYe3POymQg29JY8ojwrpAE7OE", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, accessories, and services.\n- JustDoIt: a famous Nike slogan that encourages individuals to step out of their comfort zone and take action.\n- Media: a collective communication outlets or tools used to store and deliver information or data to a broad audience." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 71, "promptTokens": 148, "totalTokens": 219 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "And they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p" }, "metavars": { "": "69", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b024fa0a-7b92-4dd2-a1a1-1ce5f9eae7bc", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and distribution of athletic footwear, apparel, equipment, and accessories.\n- Juntas Imparables: A campaign or event associated with Nike that promotes empowerment and determination.\n- Just Do It: Nike's famous slogan, encouraging individuals to take action and pursue their goals." ], "raw_response": { "id": "chatcmpl-96mugjc1wgWgq5avU3B9pcKxbzlVP", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that specializes in the design, manufacturing, and distribution of athletic footwear, apparel, equipment, and accessories.\n- Juntas Imparables: A campaign or event associated with Nike that promotes empowerment and determination.\n- Just Do It: Nike's famous slogan, encouraging individuals to take action and pursue their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 67, "promptTokens": 142, "totalTokens": 209 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Just to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL" }, "metavars": { "": "93", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "a27161f6-8f44-43f6-bcde-37e49f5d1393", "responses": [ "- Nike: A multinational corporation that specializes in the design and manufacture of sports shoes, clothing, and accessories.\n- core values: Fundamental beliefs or principles that guide the behavior and actions of a group or organization.\n- athletes: Individuals who participate in sports and demonstrate exceptional physical prowess, skill, and competitive abilities." ], "raw_response": { "id": "chatcmpl-96mugblkQqUUe0oOOLL2kMzGaEkrR", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that specializes in the design and manufacture of sports shoes, clothing, and accessories.\n- core values: Fundamental beliefs or principles that guide the behavior and actions of a group or organization.\n- athletes: Individuals who participate in sports and demonstrate exceptional physical prowess, skill, and competitive abilities." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 62, "promptTokens": 156, "totalTokens": 218 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm" }, "metavars": { "": "75", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "f895f16a-635c-41fe-85cc-d1fefd034ae0", "responses": [ "- Nike: A multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, and accessories.\n- Just Do It: A popular tagline and advertising campaign for Nike, encouraging people to push themselves and take action.\n- Cafecito Energy: A brand that offers coffee-based energy drinks to help boost energy levels." ], "raw_response": { "id": "chatcmpl-96mugufkBINNJEbqBglCShdzfpK1t", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, and accessories.\n- Just Do It: A popular tagline and advertising campaign for Nike, encouraging people to push themselves and take action.\n- Cafecito Energy: A brand that offers coffee-based energy drinks to help boost energy levels." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 68, "promptTokens": 139, "totalTokens": 207 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Just do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG" }, "metavars": { "": "38", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "e48e76c5-be91-4b12-b18c-7d42ac5226f0", "responses": [ "- Colin Kaepernick: American former professional football quarterback known for his activism and advocacy for social justice issues.\n- Nike: American multinational corporation specializing in the design, development, manufacturing, and marketing of footwear, apparel, and accessories.\n- Just Do It: Nike's slogan, encouraging individuals to push their limits and pursue their goals." ], "raw_response": { "id": "chatcmpl-96mugwUgcujFeWPh5WIn2VvUjl4BP", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Colin Kaepernick: American former professional football quarterback known for his activism and advocacy for social justice issues.\n- Nike: American multinational corporation specializing in the design, development, manufacturing, and marketing of footwear, apparel, and accessories.\n- Just Do It: Nike's slogan, encouraging individuals to push their limits and pursue their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 65, "promptTokens": 136, "totalTokens": 201 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh" }, "metavars": { "": "85", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "a5a94694-f1b2-47f4-b670-910274a38c47", "responses": [ "- Nike: A multinational corporation known for its sports apparel, footwear, and accessories.\n- Just Do It: Nike's famous slogan, encouraging individuals to pursue their goals and dreams with determination and resilience.\n- Twitter: A social media platform that allows users to share short messages called tweets with their followers." ], "raw_response": { "id": "chatcmpl-96mugzszN792xnrGa8rMsvhyCwtti", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation known for its sports apparel, footwear, and accessories.\n- Just Do It: Nike's famous slogan, encouraging individuals to pursue their goals and dreams with determination and resilience.\n- Twitter: A social media platform that allows users to share short messages called tweets with their followers." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 60, "promptTokens": 140, "totalTokens": 200 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk" }, "metavars": { "": "98", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "8ba4934b-bc50-407f-b415-00869ced0d24", "responses": [ "- Nike: A multinational corporation specializing in sports apparel, footwear, and accessories.\n- Kaepernick: Colin Kaepernick is a former professional American football player, known for his activism and protests against racial injustice during the national anthem. \n- Outrage: A strong feeling of anger or shock in response to an event or situation." ], "raw_response": { "id": "chatcmpl-96mugHVJhGiOJDQ5oep4XE55k92Tw", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation specializing in sports apparel, footwear, and accessories.\n- Kaepernick: Colin Kaepernick is a former professional American football player, known for his activism and protests against racial injustice during the national anthem. \n- Outrage: A strong feeling of anger or shock in response to an event or situation." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 63, "promptTokens": 145, "totalTokens": 208 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog" }, "metavars": { "": "58", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDon't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDon't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "dbca1e9a-c96c-4645-ba73-a876227b8493", "responses": [ "- Nike: A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Berkhan: A popular fitness blogger and intermittent fasting advocate known for his expertise in body recomposition and muscle building.\n- Friday: The day of the week that is considered the end of the workweek in many cultures and is often associated with relaxation and fun activities." ], "raw_response": { "id": "chatcmpl-96mugstUIxMta9w8a81WJTvVtFKdw", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Berkhan: A popular fitness blogger and intermittent fasting advocate known for his expertise in body recomposition and muscle building.\n- Friday: The day of the week that is considered the end of the workweek in many cultures and is often associated with relaxation and fun activities." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 75, "promptTokens": 139, "totalTokens": 214 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Don't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu" }, "metavars": { "": "29", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike My favorite Nike commercial ever!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike My favorite Nike commercial ever!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "71fd4fba-2a70-444a-9780-ccc1a1b0ccf4", "responses": [ "- Nike: Nike is a multinational corporation known for designing, manufacturing, and selling athletic shoes, apparel, and sports equipment.\n- Just Do It: \"Just Do It\" is a widely recognized slogan and trademark of Nike, often associated with their advertising campaigns, encouraging individuals to push their limits and overcome any obstacles." ], "raw_response": { "id": "chatcmpl-96mugUh87ntiI79CEoyrXKYVLOT9e", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is a multinational corporation known for designing, manufacturing, and selling athletic shoes, apparel, and sports equipment.\n- Just Do It: \"Just Do It\" is a widely recognized slogan and trademark of Nike, often associated with their advertising campaigns, encouraging individuals to push their limits and overcome any obstacles." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 63, "promptTokens": 116, "totalTokens": 179 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike My favorite Nike commercial ever!! #JustDoIt" }, "metavars": { "": "20", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nGREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nGREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "6dda5873-8748-48e3-8372-481502cf34fe", "responses": [ "- Nike: A multinational corporation that designs, develops, and sells athletic wear, including footwear, apparel, and accessories.\n- Nike Store: A retail store owned by Nike Inc., where customers can purchase Nike products.\n- Colin Kaepernick: A former professional American football quarterback known for his activism against racial injustice and police brutality, specifically for kneeling during the national anthem." ], "raw_response": { "id": "chatcmpl-96mugYnbDmgvrzcr22icEVi92nRs4", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that designs, develops, and sells athletic wear, including footwear, apparel, and accessories.\n- Nike Store: A retail store owned by Nike Inc., where customers can purchase Nike products.\n- Colin Kaepernick: A former professional American football quarterback known for his activism against racial injustice and police brutality, specifically for kneeling during the national anthem." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 72, "promptTokens": 158, "totalTokens": 230 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "GREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ" }, "metavars": { "": "8", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMy favorites so far #JustDoIt https://t.co/zY7VDa5Q0X\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMy favorites so far #JustDoIt https://t.co/zY7VDa5Q0X\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "161d0772-5a41-4a08-b1a6-2c42e94923ff", "responses": [ "- Nike: A multinational corporation that designs, develops, and manufactures athletic footwear, clothing, accessories, and equipment.\n- JustDoIt: The famous slogan and trademark of Nike, encouraging people to be active and fearless.\n- Twitter: A social media platform that allows users to post and interact with messages known as tweets." ], "raw_response": { "id": "chatcmpl-96mugoorxMrV2ssqFVuv3rTVi5Ntx", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that designs, develops, and manufactures athletic footwear, clothing, accessories, and equipment.\n- JustDoIt: The famous slogan and trademark of Nike, encouraging people to be active and fearless.\n- Twitter: A social media platform that allows users to post and interact with messages known as tweets." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 64, "promptTokens": 125, "totalTokens": 189 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "My favorites so far #JustDoIt https://t.co/zY7VDa5Q0X" }, "metavars": { "": "10", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "ae30e888-0613-4771-9918-320ad557a72d", "responses": [ "- entity: Nike: A multinational corporation that specializes in athletic footwear, apparel, equipment, and accessories.\n- entity: Advertising: A form of marketing communication used for promoting products, services, or ideas.\n- entity: Just Do It: The well-known slogan of Nike, used to encourage individuals to act decisively and boldly." ], "raw_response": { "id": "chatcmpl-96mugnIl5v0QrK9lgx9ipB4wWDAqj", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike: A multinational corporation that specializes in athletic footwear, apparel, equipment, and accessories.\n- entity: Advertising: A form of marketing communication used for promoting products, services, or ideas.\n- entity: Just Do It: The well-known slogan of Nike, used to encourage individuals to act decisively and boldly." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 66, "promptTokens": 136, "totalTokens": 202 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Nike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ" }, "metavars": { "": "89", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#Justdoit Vote our & oust McGovern!\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#Justdoit Vote our & oust McGovern!\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "676ae1cf-3051-4792-acce-7bf06d44e703", "responses": [ "- `McGovern`: George Stanley McGovern (1922-2012) was an American politician and historian who served as a United States Senator from South Dakota from 1963 until 1981. He was the Democratic Party nominee in the 1972 presidential election, but lost to Richard Nixon." ], "raw_response": { "id": "chatcmpl-96mugYWjHHa93HHf0klAT10dEUAk7", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- `McGovern`: George Stanley McGovern (1922-2012) was an American politician and historian who served as a United States Senator from South Dakota from 1963 until 1981. He was the Democratic Party nominee in the 1972 presidential election, but lost to Richard Nixon." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 61, "promptTokens": 117, "totalTokens": 178 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#Justdoit Vote our & oust McGovern!" }, "metavars": { "": "55", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDream Big & #Justdoit! https://t.co/Vr4GIyGsoj\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDream Big & #Justdoit! https://t.co/Vr4GIyGsoj\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "6ab5411a-84e4-4dfd-b086-557033d2fcbe", "responses": [ "- Nike: a multinational corporation known for designing, manufacturing, and selling athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a famous advertising slogan used by Nike to encourage people to take action and pursue their goals.\n- Twitter: a popular social media platform where users can post, interact with messages known as \"tweets,\" and follow other users." ], "raw_response": { "id": "chatcmpl-96mugXkz5EBkIP7qnAt53DboIDrjJ", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation known for designing, manufacturing, and selling athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a famous advertising slogan used by Nike to encourage people to take action and pursue their goals.\n- Twitter: a popular social media platform where users can post, interact with messages known as \"tweets,\" and follow other users." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 73, "promptTokens": 126, "totalTokens": 199 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Dream Big & #Justdoit! https://t.co/Vr4GIyGsoj" }, "metavars": { "": "24", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nModeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nModeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "2140d1aa-9283-455e-b4d6-ef2b509f17ef", "responses": [ "- Nike: A multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- Kaepernick7: Colin Kaepernick, a former professional American football player and a prominent civil rights activist known for his protests against racial injustice and police brutality.\n- Nike Women: A line of clothing and footwear specifically designed for women by the brand Nike." ], "raw_response": { "id": "chatcmpl-96mug1bCYQqV8dhyOKl7WGRnWJe6x", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- Kaepernick7: Colin Kaepernick, a former professional American football player and a prominent civil rights activist known for his protests against racial injustice and police brutality.\n- Nike Women: A line of clothing and footwear specifically designed for women by the brand Nike." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 77, "promptTokens": 188, "totalTokens": 265 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Modeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB" }, "metavars": { "": "21", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou’ve gotta WORK to make things WORK.\n\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou’ve gotta WORK to make things WORK.\n\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "33ac3050-082d-4352-baf6-bb159947f939", "responses": [ "- Nike: A multinational corporation that designs, manufactures, and markets athletic apparel, footwear, equipment, and accessories.\n- Just Do It: A famous slogan associated with the Nike brand, encouraging people to take action and pursue their goals by overcoming obstacles.\n- Wikipedia: A free online encyclopedia that allows users to create, edit, and collaborate on articles covering a wide range of topics." ], "raw_response": { "id": "chatcmpl-96mugOolZW9cGhhZFrs1jFMbjel5B", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that designs, manufactures, and markets athletic apparel, footwear, equipment, and accessories.\n- Just Do It: A famous slogan associated with the Nike brand, encouraging people to take action and pursue their goals by overcoming obstacles.\n- Wikipedia: A free online encyclopedia that allows users to create, edit, and collaborate on articles covering a wide range of topics." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 76, "promptTokens": 117, "totalTokens": 193 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "You’ve gotta WORK to make things WORK.\n\n#JustDoIt" }, "metavars": { "": "76", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nOwned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nOwned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "14118527-6c6f-4a37-a44a-7605f1a43a49", "responses": [ "- Nike: a multinational corporation specializing in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a famous slogan used by Nike to encourage individuals to take action and pursue their goals." ], "raw_response": { "id": "chatcmpl-96mugIJvH2bYPoOMG9uaI3ziafiMa", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation specializing in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a famous slogan used by Nike to encourage individuals to take action and pursue their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 48, "promptTokens": 129, "totalTokens": 177 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Owned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt" }, "metavars": { "": "81", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nPure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nPure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "1b0ef127-c4b7-40a4-98fb-498a794b2a2b", "responses": [ "- Larry Elder: An American radio show host, author, and political commentator known for his conservative views.\n- Nike: A multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, and accessories.\n- National Anthem: A patriotic song or hymn identified with a country, traditionally played or sung at public ceremonies or events to express allegiance or loyalty to that country." ], "raw_response": { "id": "chatcmpl-96muge5O8IJIdgfbHm2r0jQm4Jz63", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Larry Elder: An American radio show host, author, and political commentator known for his conservative views.\n- Nike: A multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, and accessories.\n- National Anthem: A patriotic song or hymn identified with a country, traditionally played or sung at public ceremonies or events to express allegiance or loyalty to that country." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 78, "promptTokens": 166, "totalTokens": 244 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Pure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA" }, "metavars": { "": "47", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "7a1f4bc3-ae44-4e9c-a705-f171faae18b0", "responses": [ "- Mann Cup 2018: A national lacrosse championship held annually in Canada.\n- Curtis Dickson: A professional lacrosse player who plays for the Calgary Roughnecks in the National Lacrosse League.\n- Nike: A multinational corporation that designs, manufactures, and sells athletic shoes, clothing, and accessories." ], "raw_response": { "id": "chatcmpl-96mugl9Lvv5P2GOdAuCIlzKLHEOQ7", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Mann Cup 2018: A national lacrosse championship held annually in Canada.\n- Curtis Dickson: A professional lacrosse player who plays for the Calgary Roughnecks in the National Lacrosse League.\n- Nike: A multinational corporation that designs, manufactures, and sells athletic shoes, clothing, and accessories." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 63, "promptTokens": 158, "totalTokens": 221 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq" }, "metavars": { "": "41", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c6f64b03-6ea6-45b8-a3df-3e76d6b4f33a", "responses": [ "- CSPensions: a Canadian company that provides pension plans for civil servants and federal government employees\n- Nike: a multinational corporation known for its athletic shoes, apparel, and sports equipment\n- Lion: a large carnivorous mammal of the Felidae family, known for its majestic appearance and strong predatory abilities" ], "raw_response": { "id": "chatcmpl-96mugL4PmE4NVqcuvyh5Wq2vOoDkK", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- CSPensions: a Canadian company that provides pension plans for civil servants and federal government employees\n- Nike: a multinational corporation known for its athletic shoes, apparel, and sports equipment\n- Lion: a large carnivorous mammal of the Felidae family, known for its majestic appearance and strong predatory abilities" }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 62, "promptTokens": 124, "totalTokens": 186 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)" }, "metavars": { "": "12", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhat ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhat ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "48fbee7b-cee9-491c-823c-b64d37395e42", "responses": [ "- Nike: A well-known multinational corporation that designs, develops, and manufactures athletic and lifestyle footwear, apparel, equipment, and accessories.\n- Just Do It: A famous slogan and marketing campaign associated with the athletic brand Nike, encouraging people to take action and pursue their goals.\n- Twitter: A popular social media platform that allows users to post and interact with short messages called tweets." ], "raw_response": { "id": "chatcmpl-96mugLPEXnia936jqMimi8ogZ6i42", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A well-known multinational corporation that designs, develops, and manufactures athletic and lifestyle footwear, apparel, equipment, and accessories.\n- Just Do It: A famous slogan and marketing campaign associated with the athletic brand Nike, encouraging people to take action and pursue their goals.\n- Twitter: A popular social media platform that allows users to post and interact with short messages called tweets." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 76, "promptTokens": 127, "totalTokens": 203 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "What ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778" }, "metavars": { "": "62", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIf you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIf you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "93a931cd-5bdf-4829-b86a-e8bd4e2720ab", "responses": [ "- Nike: A multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, accessories, and services.\n- Just Do It: Nike's slogan, often used to inspire people to take action and pursue their goals.\n- Twitter: A social media platform that allows users to post and interact with short messages, called tweets." ], "raw_response": { "id": "chatcmpl-96mugjR39pivyhjhr6oaMX2gqNvv7", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, accessories, and services.\n- Just Do It: Nike's slogan, often used to inspire people to take action and pursue their goals.\n- Twitter: A social media platform that allows users to post and interact with short messages, called tweets." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 70, "promptTokens": 146, "totalTokens": 216 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "If you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9" }, "metavars": { "": "48", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "11ea82e0-6be6-4549-a259-ad98914b3343", "responses": [ "- Donald Trump: The 45th President of the United States, known for his controversial policies and outspoken nature.\n- Nike: A multinational corporation specializing in athletic footwear, apparel, equipment, and accessories.\n- NFL: The National Football League, a professional American football league consisting of 32 teams." ], "raw_response": { "id": "chatcmpl-96mugv2FgMYUVtzJVwlYRxFAUJtGw", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Donald Trump: The 45th President of the United States, known for his controversial policies and outspoken nature.\n- Nike: A multinational corporation specializing in athletic footwear, apparel, equipment, and accessories.\n- NFL: The National Football League, a professional American football league consisting of 32 teams." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 60, "promptTokens": 142, "totalTokens": 202 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur" }, "metavars": { "": "59", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMy kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMy kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "5a0ca3e9-9012-4074-800d-505140da7780", "responses": [ "- Nike: A multinational corporation that designs, manufactures, and sells sports footwear, clothing, and equipment.\n- Lady: A term used to refer to a woman of high social position or noble birth.\n- Just Do It: A motivational slogan used by the sports brand Nike, encouraging individuals to take action and overcome obstacles." ], "raw_response": { "id": "chatcmpl-96mug1pr8eo2hVzTl322WA9MXp140", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that designs, manufactures, and sells sports footwear, clothing, and equipment.\n- Lady: A term used to refer to a woman of high social position or noble birth.\n- Just Do It: A motivational slogan used by the sports brand Nike, encouraging individuals to take action and overcome obstacles." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 64, "promptTokens": 125, "totalTokens": 189 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "My kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm" }, "metavars": { "": "23", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c37e7c6e-896a-4314-96b7-56ee1c1866ae", "responses": [ "- Nike: Nike is a multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: Colin Kaepernick is a former NFL quarterback who gained attention for his protests against racial injustice and police brutality by kneeling during the national anthem before football games.\n- Twitter: Twitter is a social media platform that allows users to send and read short messages called \"tweets\"." ], "raw_response": { "id": "chatcmpl-96mugs4GQToQhfZAkNKy0T4S1wB70", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is a multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: Colin Kaepernick is a former NFL quarterback who gained attention for his protests against racial injustice and police brutality by kneeling during the national anthem before football games.\n- Twitter: Twitter is a social media platform that allows users to send and read short messages called \"tweets\"." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 84, "promptTokens": 148, "totalTokens": 232 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll" }, "metavars": { "": "65", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "fbc96176-5151-4500-b0eb-499b220d089d", "responses": [ "- Mr: It is difficult to determine the exact person referred to by \"Mr\" without additional information. \n- Mitch McConnell: Mitch McConnell is an American politician who serves as the United States Senate Majority Leader. \n- GOP: GOP stands for the Grand Old Party, which is a nickname for the Republican Party, one of the two major political parties in the United States." ], "raw_response": { "id": "chatcmpl-96mugmOYb7fGwyi1qq0p5xgzTmr80", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Mr: It is difficult to determine the exact person referred to by \"Mr\" without additional information. \n- Mitch McConnell: Mitch McConnell is an American politician who serves as the United States Senate Majority Leader. \n- GOP: GOP stands for the Grand Old Party, which is a nickname for the Republican Party, one of the two major political parties in the United States." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 75, "promptTokens": 142, "totalTokens": 217 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Mr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt" }, "metavars": { "": "44", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "4c4e93a3-babb-4c6d-8454-3f0f47ce8a63", "responses": [ "- Discount365days: an online platform that offers discounts on various fashion brands throughout the year.\n- JustDoIt: a slogan and registered trademark of the sportswear brand Nike, encouraging individuals to take action and pursue their goals.\n- Nike: a multinational corporation specializing in the design, development, and manufacturing of footwear, apparel, equipment, and accessories for various sports and activities." ], "raw_response": { "id": "chatcmpl-96mugoi0C8XEnSwUcTA7srhAtIXJm", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Discount365days: an online platform that offers discounts on various fashion brands throughout the year.\n- JustDoIt: a slogan and registered trademark of the sportswear brand Nike, encouraging individuals to take action and pursue their goals.\n- Nike: a multinational corporation specializing in the design, development, and manufacturing of footwear, apparel, equipment, and accessories for various sports and activities." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 77, "promptTokens": 139, "totalTokens": 216 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "You are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg" }, "metavars": { "": "22", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "759a2f85-237d-4269-bce8-7d40c66f29ea", "responses": [ "- Nike: Nike is a multinational corporation that specializes in designing, manufacturing, and selling athletic shoes, clothing, and equipment.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football player known for his peaceful protests against racial injustice by kneeling during the national anthem.\n- NBC: NBC (National Broadcasting Company) is an American television network that provides news, sports, entertainment, and various TV shows to its viewers." ], "raw_response": { "id": "chatcmpl-96muggjtVQTBWZ5KwE9GcugkyKtb4", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is a multinational corporation that specializes in designing, manufacturing, and selling athletic shoes, clothing, and equipment.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football player known for his peaceful protests against racial injustice by kneeling during the national anthem.\n- NBC: NBC (National Broadcasting Company) is an American television network that provides news, sports, entertainment, and various TV shows to its viewers." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 83, "promptTokens": 178, "totalTokens": 261 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL" }, "metavars": { "": "68", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNow this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNow this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "33ad10f7-ff1a-4598-80c5-599fefb8328d", "responses": [ "- MAGA: An acronym for \"Make America Great Again,\" which is a political slogan commonly associated with Donald Trump's 2016 presidential campaign and his presidency.\n- QAnon: An online conspiracy theory community that believes in deep state conspiracies and secret plots against President Donald Trump.\n- POTUS: An acronym for \"President of the United States,\" which is a title given to the current President of the United States." ], "raw_response": { "id": "chatcmpl-96mug351cxPDNHTi7fSWWLdyVT4bx", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- MAGA: An acronym for \"Make America Great Again,\" which is a political slogan commonly associated with Donald Trump's 2016 presidential campaign and his presidency.\n- QAnon: An online conspiracy theory community that believes in deep state conspiracies and secret plots against President Donald Trump.\n- POTUS: An acronym for \"President of the United States,\" which is a title given to the current President of the United States." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 86, "promptTokens": 157, "totalTokens": 243 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Now this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg" }, "metavars": { "": "83", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nI’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nI’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "c3834b93-a6fe-4f90-be24-c97c237c3c81", "responses": [ "- entity: Just Do It\n description: Nike's slogan for their campaign encouraging people to take action and pursue their goals.\n- entity: Left\n description: Referring to the political ideology that supports social equality and progressive policies.\n- entity: Donald Trump\n description: The 45th President of the United States, known for his controversial policies and outspoken personality." ], "raw_response": { "id": "chatcmpl-96mugzJSyDMyqSQN8f2dSPD3sJm6K", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Just Do It\n description: Nike's slogan for their campaign encouraging people to take action and pursue their goals.\n- entity: Left\n description: Referring to the political ideology that supports social equality and progressive policies.\n- entity: Donald Trump\n description: The 45th President of the United States, known for his controversial policies and outspoken personality." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 76, "promptTokens": 190, "totalTokens": 266 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "I’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l" }, "metavars": { "": "18", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "af417037-3bc7-4bd8-a4bc-192853b32be3", "responses": [ "- entity: Nike: A multinational corporation that is engaged in the design, development, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- entity: Just Do It: A trademarked slogan used by Nike to promote its products, often associated with motivation and perseverance.\n- entity: First Amendment: The first amendment to the United States Constitution, which guarantees the right to freedom of speech, religion, the press, assembly, and petition." ], "raw_response": { "id": "chatcmpl-96mugZqDx3oWSbnLF7TPu4kTDnTJx", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike: A multinational corporation that is engaged in the design, development, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- entity: Just Do It: A trademarked slogan used by Nike to promote its products, often associated with motivation and perseverance.\n- entity: First Amendment: The first amendment to the United States Constitution, which guarantees the right to freedom of speech, religion, the press, assembly, and petition." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 91, "promptTokens": 129, "totalTokens": 220 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Sounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu" }, "metavars": { "": "57", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "0a2a8129-6e61-40d8-a336-fd17ba7b8a6e", "responses": [ "- Nike: A multinational corporation specializing in the design, manufacturing, and sales of sports apparel, footwear, equipment, and accessories.\n- Nike's \"Just Do It\": A motivational slogan created by Nike to encourage individuals to push their limits and overcome obstacles in sports and life.\n- Lucas Bishop: A fictional character in the Marvel Comics universe, known as a mutant with the ability to absorb energy and redirect it as concussive blasts." ], "raw_response": { "id": "chatcmpl-96mugpAqlhintT3yZroRYwO8j78K7", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation specializing in the design, manufacturing, and sales of sports apparel, footwear, equipment, and accessories.\n- Nike's \"Just Do It\": A motivational slogan created by Nike to encourage individuals to push their limits and overcome obstacles in sports and life.\n- Lucas Bishop: A fictional character in the Marvel Comics universe, known as a mutant with the ability to absorb energy and redirect it as concussive blasts." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 87, "promptTokens": 136, "totalTokens": 223 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU" }, "metavars": { "": "3", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "94cd171b-a1d4-434c-9b1e-a0fabccea48b", "responses": [ "- entity: Donald Trump\n - description: The 45th President of the United States who is often referred to by his Twitter handle \"@realDonaldTrump\".\n- entity: NFL\n - description: The National Football League, the professional American football league in the United States.\n- entity: Nike\n - description: A global sportswear and equipment manufacturing company." ], "raw_response": { "id": "chatcmpl-96mugsX1to4D8zhBdPO8tkIM9Q8wL", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Donald Trump\n - description: The 45th President of the United States who is often referred to by his Twitter handle \"@realDonaldTrump\".\n- entity: NFL\n - description: The National Football League, the professional American football league in the United States.\n- entity: Nike\n - description: A global sportswear and equipment manufacturing company." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 74, "promptTokens": 172, "totalTokens": 246 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap" }, "metavars": { "": "27", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "8c1c8384-eb88-46a2-8503-6d4440f692ee", "responses": [ "- Nike: A well-known multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Benjamin Franklin: One of the Founding Fathers of the United States who was a polymath, scientist, inventor, writer, and diplomat.\n- Intel: A multinational technology company that is one of the world's largest semiconductor chip manufacturers." ], "raw_response": { "id": "chatcmpl-96mugRyk2uwgA8rrb5c46v4c7oJ1d", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A well-known multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Benjamin Franklin: One of the Founding Fathers of the United States who was a polymath, scientist, inventor, writer, and diplomat.\n- Intel: A multinational technology company that is one of the world's largest semiconductor chip manufacturers." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 71, "promptTokens": 145, "totalTokens": 216 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt" }, "metavars": { "": "36", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "1b4300c3-23f6-46f5-a681-2200d0290ac5", "responses": [ "- entity: Donald Trump: The 45th President of the United States.\n- entity: Elections: A process where citizens cast votes to choose individuals to hold public office.\n- entity: Nike: An American multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories." ], "raw_response": { "id": "chatcmpl-96mugEqYQQibjub6MJz6VqGwjJj6L", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Donald Trump: The 45th President of the United States.\n- entity: Elections: A process where citizens cast votes to choose individuals to hold public office.\n- entity: Nike: An American multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 60, "promptTokens": 142, "totalTokens": 202 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Why won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH" }, "metavars": { "": "6", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nCreate Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nCreate Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "22ebf5ed-720d-41ec-b046-e2cb99b346d8", "responses": [ "- Nike: Nike is a well-known multinational corporation that designs, manufactures, and markets athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: Colin Kaepernick is a former professional football quarterback who is known for his activism and advocacy for social justice issues.\n- Just Do It: \"Just Do It\" is a famous marketing tagline by Nike that has become synonymous with their brand and is often associated with empowerment and motivation." ], "raw_response": { "id": "chatcmpl-96mug1a3A5jfB4zPXQIdOBZNDZNIR", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is a well-known multinational corporation that designs, manufactures, and markets athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: Colin Kaepernick is a former professional football quarterback who is known for his activism and advocacy for social justice issues.\n- Just Do It: \"Just Do It\" is a famous marketing tagline by Nike that has become synonymous with their brand and is often associated with empowerment and motivation." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 86, "promptTokens": 156, "totalTokens": 242 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Create Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A" }, "metavars": { "": "54", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b95d06c7-a539-463a-8d49-7751d5a149b7", "responses": [ "- Nike: a multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, accessories, and services.\n- JustDoIt: Nike's slogan, known for encouraging individuals to have the determination and willpower to overcome obstacles and achieve their goals.\n- #JustDoIt: a hashtag associated with Nike's campaign and brand message, encouraging people to take action and pursue their ambitions." ], "raw_response": { "id": "chatcmpl-96mugXxiEVS3b6jWhUUhBn6A2TurM", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, accessories, and services.\n- JustDoIt: Nike's slogan, known for encouraging individuals to have the determination and willpower to overcome obstacles and achieve their goals.\n- #JustDoIt: a hashtag associated with Nike's campaign and brand message, encouraging people to take action and pursue their ambitions." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 82, "promptTokens": 160, "totalTokens": 242 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6" }, "metavars": { "": "30", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "2fa48697-e8ae-4ff3-acc8-5a518448de7d", "responses": [ "- @TsMadisonatl1: Ts Madison is a well-known transgender media personality and social media influencer.\n- @PrimeVideo: Prime Video is an online streaming service owned by Amazon, offering a wide range of movies, TV shows, and original content.\n- @MsIsisKing: Isis King is an American model and fashion designer, known for being the first transgender woman to compete on the reality TV show \"America's Next Top Model\"." ], "raw_response": { "id": "chatcmpl-96mugQXqHNez52Fosh8e2h60APJjJ", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- @TsMadisonatl1: Ts Madison is a well-known transgender media personality and social media influencer.\n- @PrimeVideo: Prime Video is an online streaming service owned by Amazon, offering a wide range of movies, TV shows, and original content.\n- @MsIsisKing: Isis King is an American model and fashion designer, known for being the first transgender woman to compete on the reality TV show \"America's Next Top Model\"." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 91, "promptTokens": 148, "totalTokens": 239 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt" }, "metavars": { "": "84", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAll Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAll Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "a7af0baa-7344-43af-92b4-7b2eea463911", "responses": [ "- Nike: A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Kaepernick: Colin Kaepernick, a former professional American football quarterback and civil rights activist known for his protests against racial injustice by kneeling during the national anthem at NFL games.\n- The Ellen Show: A popular American daytime talk show hosted by Ellen DeGeneres, featuring celebrity interviews, comedy, and musical performances." ], "raw_response": { "id": "chatcmpl-96mugqUKcKQAl1DTBKP59SyCyAGx3", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Kaepernick: Colin Kaepernick, a former professional American football quarterback and civil rights activist known for his protests against racial injustice by kneeling during the national anthem at NFL games.\n- The Ellen Show: A popular American daytime talk show hosted by Ellen DeGeneres, featuring celebrity interviews, comedy, and musical performances." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 82, "promptTokens": 200, "totalTokens": 282 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "All Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om" }, "metavars": { "": "99", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "34bead26-cacf-4e87-af8e-83a228747dc9", "responses": [ "- NIKE: A multinational corporation that designs, manufactures, and sells athletic shoes, apparel, equipment, and accessories.\n- Donald Trump: The 45th President of the United States, a businessman, television personality, and politician.\n- JUST DO IT: Nike's iconic slogan, encouraging people to take action and push themselves beyond their limits." ], "raw_response": { "id": "chatcmpl-96mug7w3MdSRTlmA2CCZ4kiPDS9gn", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- NIKE: A multinational corporation that designs, manufactures, and sells athletic shoes, apparel, equipment, and accessories.\n- Donald Trump: The 45th President of the United States, a businessman, television personality, and politician.\n- JUST DO IT: Nike's iconic slogan, encouraging people to take action and push themselves beyond their limits." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 69, "promptTokens": 164, "totalTokens": 233 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds" }, "metavars": { "": "92", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nLooking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nLooking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "b1353519-f894-493b-96f7-236cd5e72894", "responses": [ "- Nike: A well-known multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: A well-known slogan used by Nike as part of its marketing campaigns, intended to inspire and motivate people to take action and overcome obstacles.\n- Twitter: A popular social media platform that allows users to post and interact with messages known as tweets." ], "raw_response": { "id": "chatcmpl-96mug0uZTOS2fUKNqrrEkiTV4GoDT", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A well-known multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: A well-known slogan used by Nike as part of its marketing campaigns, intended to inspire and motivate people to take action and overcome obstacles.\n- Twitter: A popular social media platform that allows users to post and interact with messages known as tweets." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 82, "promptTokens": 134, "totalTokens": 216 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Looking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd" }, "metavars": { "": "77", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "23f1b01d-8ff2-4ec2-91f9-a3e81ccbed79", "responses": [ "- Nike: a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Back to the Future: a science fiction movie franchise directed by Robert Zemeckis, known for its depiction of time travel.\n- Nike Bruins: a type of sneaker released by Nike, based on the shoes worn by the character Marty McFly in the movie Back to the Future." ], "raw_response": { "id": "chatcmpl-96mug3M8sIjIJjRSW2DYOUZWPmJ1b", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Back to the Future: a science fiction movie franchise directed by Robert Zemeckis, known for its depiction of time travel.\n- Nike Bruins: a type of sneaker released by Nike, based on the shoes worn by the character Marty McFly in the movie Back to the Future." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 82, "promptTokens": 138, "totalTokens": 220 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt" }, "metavars": { "": "33", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nits Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nits Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "8f4118f4-0204-4d6b-be16-dba79fc1e9ff", "responses": [ "- Nike: An American multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: An American former professional football player who is known for his political activism, especially his peaceful protests against police brutality and racial inequality during the national anthem.\n- Eminem: An American rapper, songwriter, and record producer, widely regarded as one of the greatest and most influential hip hop artists of all time." ], "raw_response": { "id": "chatcmpl-96mugHPyeDmGua3HkBc98Qg8QHTSF", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: An American multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: An American former professional football player who is known for his political activism, especially his peaceful protests against police brutality and racial inequality during the national anthem.\n- Eminem: An American rapper, songwriter, and record producer, widely regarded as one of the greatest and most influential hip hop artists of all time." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 87, "promptTokens": 164, "totalTokens": 251 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "its Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep" }, "metavars": { "": "95", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "5090bbe4-cd84-4407-89be-1da581879f2c", "responses": [ "- entity: Nike\n - description: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- entity: Mike Tyson\n - description: Mike Tyson is a former professional boxer who is considered one of the greatest heavyweights in the history of the sport.\n- entity: Tyson\n - description: Tyson is a surname of English origin, but in this context, it likely refers to Mike Tyson." ], "raw_response": { "id": "chatcmpl-96mug413b3fRaQLLC5dUtYJOBLLOF", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike\n - description: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- entity: Mike Tyson\n - description: Mike Tyson is a former professional boxer who is considered one of the greatest heavyweights in the history of the sport.\n- entity: Tyson\n - description: Tyson is a surname of English origin, but in this context, it likely refers to Mike Tyson." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 93, "promptTokens": 146, "totalTokens": 239 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Why yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM" }, "metavars": { "": "31", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nColin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nColin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "489f5517-11a5-4e69-832f-df53284d4a56", "responses": [ "- Colin Kaepernick: He is a former professional American football player known for his activism against racial injustice, particularly in the form of kneeling during the national anthem.\n- Nike: It is a multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, and accessories.\n- Black Lives Matter: It is a social movement advocating for the rights and equality of black people, specifically in response to violence and systemic racism." ], "raw_response": { "id": "chatcmpl-96mugX6Mgw2EbAasEAA1ChOkNrMrd", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Colin Kaepernick: He is a former professional American football player known for his activism against racial injustice, particularly in the form of kneeling during the national anthem.\n- Nike: It is a multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, and accessories.\n- Black Lives Matter: It is a social movement advocating for the rights and equality of black people, specifically in response to violence and systemic racism." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 87, "promptTokens": 151, "totalTokens": 238 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Colin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN" }, "metavars": { "": "11", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "3fd687a9-e76e-4a26-86b7-6f6009388a3c", "responses": [ "- Colin Kaepernick: A former professional American football player known for his protests against racial injustice by kneeling during the national anthem.\n- Nike: A multinational corporation specializing in the design, development, manufacturing, and marketing of athletic apparel, footwear, accessories, and equipment.\n- Donald Trump: The 45th President of the United States, a businessman, and television personality." ], "raw_response": { "id": "chatcmpl-96mugtri34zP8lgsLjiI4LjzwsNbZ", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Colin Kaepernick: A former professional American football player known for his protests against racial injustice by kneeling during the national anthem.\n- Nike: A multinational corporation specializing in the design, development, manufacturing, and marketing of athletic apparel, footwear, accessories, and equipment.\n- Donald Trump: The 45th President of the United States, a businessman, and television personality." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 73, "promptTokens": 139, "totalTokens": 212 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt" }, "metavars": { "": "13", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIt’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIt’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "10723329-42db-45d1-97f9-d70e0c78509e", "responses": [ "- Nike: Nike is a multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Karpernick: It appears that \"Karpernick\" is a misspelling or a typo. However, there is a well-known figure named Colin Kaepernick. Colin Kaepernick is an American football quarterback who gained widespread attention for kneeling during the national anthem in protest against racial injustice and police brutality." ], "raw_response": { "id": "chatcmpl-96mug8i4hFyjxtlYJrp4wvqI1UGJ2", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike is a multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Karpernick: It appears that \"Karpernick\" is a misspelling or a typo. However, there is a well-known figure named Colin Kaepernick. Colin Kaepernick is an American football quarterback who gained widespread attention for kneeling during the national anthem in protest against racial injustice and police brutality." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 89, "promptTokens": 132, "totalTokens": 221 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "It’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt" }, "metavars": { "": "86", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNo one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNo one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "f9d1f683-e07c-4d0b-88b0-be46376838f6", "responses": [ "- @kobebryant: Kobe Bryant is a retired professional basketball player. He is considered one of the greatest basketball players of all time and played for the Los Angeles Lakers in the NBA.\n- Nike: Nike is a multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- Just Do It: \"Just Do It\" is a popular advertising slogan used by Nike since 1988. It has become widely recognized and associated with the brand's products and campaigns." ], "raw_response": { "id": "chatcmpl-96mugO4JNU6RDx3DuJLDlnAYVd9bc", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- @kobebryant: Kobe Bryant is a retired professional basketball player. He is considered one of the greatest basketball players of all time and played for the Los Angeles Lakers in the NBA.\n- Nike: Nike is a multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- Just Do It: \"Just Do It\" is a popular advertising slogan used by Nike since 1988. It has become widely recognized and associated with the brand's products and campaigns." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 110, "promptTokens": 135, "totalTokens": 245 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "No one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n" }, "metavars": { "": "91", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "596b6b42-72c4-47c6-b167-cd03f20e9798", "responses": [ "- `RepAdamSchiff`: Adam Schiff is a United States politician who serves as the U.S. Representative for California's 28th congressional district. He is a member of the Democratic Party.\n- `JustDoIt`: \"Just Do It\" is a well-known slogan and trademark of the American sportswear company Nike. It is often associated with motivation and determination.\n- `SpartacAssJr`: No well-known entity was found for this term." ], "raw_response": { "id": "chatcmpl-96mugs3JeKftYpqvaQobP86IDRzcM", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- `RepAdamSchiff`: Adam Schiff is a United States politician who serves as the U.S. Representative for California's 28th congressional district. He is a member of the Democratic Party.\n- `JustDoIt`: \"Just Do It\" is a well-known slogan and trademark of the American sportswear company Nike. It is often associated with motivation and determination.\n- `SpartacAssJr`: No well-known entity was found for this term." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 95, "promptTokens": 128, "totalTokens": 223 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr" }, "metavars": { "": "14", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nInvest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nInvest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "6c359e63-3b18-46e3-bf57-8fe74a5d7b77", "responses": [ "- `Mojo50`: Mojo50 is a conservative radio network based in the United States that features various talk shows and hosts.\n- `DocThompsonShow`: The Doc Thompson Show was a talk radio show hosted by Doc Thompson, who was a conservative political commentator and media personality.\n- `Brad Staggs`: Brad Staggs is a radio host and producer known for co-hosting the Doc Thompson Show and his work in conservative talk radio." ], "raw_response": { "id": "chatcmpl-96mug1mfNOnrBQufL4k90cbCpZALg", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- `Mojo50`: Mojo50 is a conservative radio network based in the United States that features various talk shows and hosts.\n- `DocThompsonShow`: The Doc Thompson Show was a talk radio show hosted by Doc Thompson, who was a conservative political commentator and media personality.\n- `Brad Staggs`: Brad Staggs is a radio host and producer known for co-hosting the Doc Thompson Show and his work in conservative talk radio." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 91, "promptTokens": 133, "totalTokens": 224 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Invest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro" }, "metavars": { "": "50", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThose three words made all the difference. #JustDoIt https://t.co/CCrqAeINql\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThose three words made all the difference. #JustDoIt https://t.co/CCrqAeINql\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "fa4aebd2-545b-4ece-9377-55aac92e89b5", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: A famous Nike slogan that encourages individuals to take action and overcome challenges.\n- Twitter: An American social media platform that allows users to post and interact with messages known as \"tweets\"." ], "raw_response": { "id": "chatcmpl-96mugXjUX5KJXKV8fVLnlVcmK8vS5", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: A famous Nike slogan that encourages individuals to take action and overcome challenges.\n- Twitter: An American social media platform that allows users to post and interact with messages known as \"tweets\"." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 68, "promptTokens": 127, "totalTokens": 195 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Those three words made all the difference. #JustDoIt https://t.co/CCrqAeINql" }, "metavars": { "": "72", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nHey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nHey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "76b181aa-cd07-4d82-a749-6db2060457ef", "responses": [ "- New YouTubers: Individuals or groups who have recently started creating content on the YouTube platform.\n- Relationship Goals: A popular hashtag used on social media platforms to refer to aspirational romantic relationships.\n- Just Do It: A famous slogan coined by the sports brand Nike, encouraging people to take action and pursue their goals." ], "raw_response": { "id": "chatcmpl-96mugMqykAz3vDbK7r1L3gMPUuT1U", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- New YouTubers: Individuals or groups who have recently started creating content on the YouTube platform.\n- Relationship Goals: A popular hashtag used on social media platforms to refer to aspirational romantic relationships.\n- Just Do It: A famous slogan coined by the sports brand Nike, encouraging people to take action and pursue their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 66, "promptTokens": 170, "totalTokens": 236 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Hey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ" }, "metavars": { "": "25", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIf you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIf you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "84204ba8-5928-472d-a5c6-cb821d8fdcfb", "responses": [ "- entity: cremation\n - description: The act of disposing a dead body by burning it to ashes.\n- entity: rocket launcher\n - description: A portable weapon system designed to launch rockets or missiles.\n- entity: Nike\n - description: An American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services." ], "raw_response": { "id": "chatcmpl-96mugHOJx0Sve5yQQsc8WAYZSLNCU", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: cremation\n - description: The act of disposing a dead body by burning it to ashes.\n- entity: rocket launcher\n - description: A portable weapon system designed to launch rockets or missiles.\n- entity: Nike\n - description: An American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "low", "filtered": false } } } ], "usage": { "completionTokens": 85, "promptTokens": 151, "totalTokens": 236 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "If you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts" }, "metavars": { "": "51", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDon’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDon’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "760070eb-831a-4487-95f7-4e8db17717f5", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and sales of sports apparel, footwear, equipment, and accessories.\n- Donovan Bailey: A retired Canadian sprinter who held the world record for the 100 meters from 1996 to 1999 and won two Olympic gold medals in the 4x100 meters relay.\n- Nike slogan \"Just Do It\": A famous advertising slogan introduced by Nike in 1988, encouraging individuals to overcome obstacles and pursue their dreams without hesitation." ], "raw_response": { "id": "chatcmpl-96mugKHxPtaT73JWzv7ga9xKhuZKT", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that specializes in the design, manufacturing, and sales of sports apparel, footwear, equipment, and accessories.\n- Donovan Bailey: A retired Canadian sprinter who held the world record for the 100 meters from 1996 to 1999 and won two Olympic gold medals in the 4x100 meters relay.\n- Nike slogan \"Just Do It\": A famous advertising slogan introduced by Nike in 1988, encouraging individuals to overcome obstacles and pursue their dreams without hesitation." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 101, "promptTokens": 125, "totalTokens": 226 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Don’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit" }, "metavars": { "": "53", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nFriday Mood #JustDoIt https://t.co/D1b8qb3m5y\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nFriday Mood #JustDoIt https://t.co/D1b8qb3m5y\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "4c5b088c-546b-4b5a-b62e-ae93a2a6ed50", "responses": [ "- entity: Nike - A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel, known for its famous slogan \"Just Do It\".\n- entity: Friday - The day of the week that comes after Thursday and before Saturday.\n- entity: Just Do It - A well-known slogan used by Nike to motivate people to take action and overcome obstacles in their lives." ], "raw_response": { "id": "chatcmpl-96mugCuMPTTRXlPBZo9NsDXR9nGxk", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike - A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel, known for its famous slogan \"Just Do It\".\n- entity: Friday - The day of the week that comes after Thursday and before Saturday.\n- entity: Just Do It - A well-known slogan used by Nike to motivate people to take action and overcome obstacles in their lives." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 78, "promptTokens": 123, "totalTokens": 201 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Friday Mood #JustDoIt https://t.co/D1b8qb3m5y" }, "metavars": { "": "66", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "45deddcf-c653-4ad9-8ab2-57ca73e076eb", "responses": [ "- entity: Miss America\n description: Miss America is a beauty pageant that has been held annually since 1921.\n- entity: Nike\n description: Nike is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- entity: FEMA\n description: FEMA (Federal Emergency Management Agency) is an agency of the United States Department of Homeland Security, created to coordinate the response to disasters that occur within the United States and that overwhelm the resources of local and state authorities." ], "raw_response": { "id": "chatcmpl-96mugKu6mIQSDey2NSEOSQ9PxrSL1", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Miss America\n description: Miss America is a beauty pageant that has been held annually since 1921.\n- entity: Nike\n description: Nike is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- entity: FEMA\n description: FEMA (Federal Emergency Management Agency) is an agency of the United States Department of Homeland Security, created to coordinate the response to disasters that occur within the United States and that overwhelm the resources of local and state authorities." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 119, "promptTokens": 205, "totalTokens": 324 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP" }, "metavars": { "": "32", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "39a7dc02-0a95-4ca5-9361-4d534c3afb03", "responses": [ "- @realDonaldTrump: Donald Trump is the 45th President of the United States and a prominent businessman.\n- @Nike: Nike is a widely recognized athletic shoe and sportswear company.\n- #TakeTheKnee: Take a Knee movement was initiated by Colin Kaepernick, an American football quarterback, to protest against racial injustice and police brutality in the United States." ], "raw_response": { "id": "chatcmpl-96mugqgM2PWbe8DOxwbTBWJZyX7lZ", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- @realDonaldTrump: Donald Trump is the 45th President of the United States and a prominent businessman.\n- @Nike: Nike is a widely recognized athletic shoe and sportswear company.\n- #TakeTheKnee: Take a Knee movement was initiated by Colin Kaepernick, an American football quarterback, to protest against racial injustice and police brutality in the United States." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 73, "promptTokens": 133, "totalTokens": 206 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee" }, "metavars": { "": "46", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSo with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSo with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "fba6a005-9515-47ba-a522-2cd5f008c002", "responses": [ "- Sun: The Sun is the star at the center of the Solar System and is crucial for sustaining life on Earth.\n- Virgo: Virgo is one of the 12 astrological signs of the zodiac, typically associated with those born between August 23 and September 22.\n- Just Do It: \"Just Do It\" is a famous slogan used by the athletic company Nike to encourage people to take action and pursue their goals." ], "raw_response": { "id": "chatcmpl-96mug4mVNOwEiKCASNuq17WQXkRhj", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Sun: The Sun is the star at the center of the Solar System and is crucial for sustaining life on Earth.\n- Virgo: Virgo is one of the 12 astrological signs of the zodiac, typically associated with those born between August 23 and September 22.\n- Just Do It: \"Just Do It\" is a famous slogan used by the athletic company Nike to encourage people to take action and pursue their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 89, "promptTokens": 148, "totalTokens": 237 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "So with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl" }, "metavars": { "": "43", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "f946981e-0a9b-4e81-a09e-44186d68d20b", "responses": [ "- @realDonaldTrump: Donald Trump is the 45th President of the United States, known for his controversial political style and policies.\n- Kim: This may refer to Kim Jong-un, the Supreme Leader of North Korea, known for his authoritarian rule and tensions with other countries.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football player known for his protest against racial injustice by kneeling during the national anthem." ], "raw_response": { "id": "chatcmpl-96mugjVUsiD8naBOCNsbpa13q2j4C", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- @realDonaldTrump: Donald Trump is the 45th President of the United States, known for his controversial political style and policies.\n- Kim: This may refer to Kim Jong-un, the Supreme Leader of North Korea, known for his authoritarian rule and tensions with other countries.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football player known for his protest against racial injustice by kneeling during the national anthem." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 82, "promptTokens": 164, "totalTokens": 246 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI" }, "metavars": { "": "37", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNew season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNew season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "80b5c9a0-2cd5-4c0c-bbfe-57d096d89427", "responses": [ "- ESG Notes: a web series that focuses on Environmental, Social, and Governance (ESG) topics in the investment world.\n- Nike: a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Theranos: a now-defunct health technology company that claimed to have revolutionized blood testing but faced multiple controversies and legal issues." ], "raw_response": { "id": "chatcmpl-96mugpfSW25KFvRFDTuUm6tYVnLxW", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- ESG Notes: a web series that focuses on Environmental, Social, and Governance (ESG) topics in the investment world.\n- Nike: a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Theranos: a now-defunct health technology company that claimed to have revolutionized blood testing but faced multiple controversies and legal issues." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 77, "promptTokens": 193, "totalTokens": 270 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "New season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn" }, "metavars": { "": "49", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSlave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSlave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "d3bffc8c-e88a-4f97-8163-57d8d906b856", "responses": [ "- entity: Slave Owners\n description: Individuals who owned and enforced slavery on black men and women for economic gain.\n- entity: Private Prisons\n description: Institutional facilities that detain individuals for profit, often criticized for their treatment of inmates.\n- entity: Nike\n description: A multinational corporation known for manufacturing and selling athletic shoes, apparel, and other sports equipment." ], "raw_response": { "id": "chatcmpl-96mug8Zsf9eSr592Hi7mrEVW4Txj4", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Slave Owners\n description: Individuals who owned and enforced slavery on black men and women for economic gain.\n- entity: Private Prisons\n description: Institutional facilities that detain individuals for profit, often criticized for their treatment of inmates.\n- entity: Nike\n description: A multinational corporation known for manufacturing and selling athletic shoes, apparel, and other sports equipment." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 76, "promptTokens": 162, "totalTokens": 238 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Slave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee" }, "metavars": { "": "87", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "45328fdc-5fd5-4b3f-801b-448ba662ed7e", "responses": [ "- entity: Nike\n - description: A well-known multinational corporation that specializes in athletic footwear, apparel, equipment, and accessories.\n- entity: Wikipedia\n - description: A free online encyclopedia that contains information on a wide range of topics.\n- entity: \"Just Do It\"\n - description: A popular slogan used by Nike to encourage people to take action and pursue their goals." ], "raw_response": { "id": "chatcmpl-96mugCinLikOMtS6CGez7bthXCqUv", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike\n - description: A well-known multinational corporation that specializes in athletic footwear, apparel, equipment, and accessories.\n- entity: Wikipedia\n - description: A free online encyclopedia that contains information on a wide range of topics.\n- entity: \"Just Do It\"\n - description: A popular slogan used by Nike to encourage people to take action and pursue their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 79, "promptTokens": 156, "totalTokens": 235 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "This is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh" }, "metavars": { "": "73", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThere are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThere are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "fb5ceda0-3704-4237-8ad5-1bc3f78e13d3", "responses": [ "- Nike: A global sportswear and footwear brand known for their iconic \"Just Do It\" slogan and endorsement of famous athletes.\n- Wikipedia: A free online encyclopedia containing articles on a wide range of topics, maintained and edited by volunteers from around the world.\n- Nike Ad: Refers to the advertising campaign run by Nike to promote their products, often featuring renowned athletes and inspiring messages." ], "raw_response": { "id": "chatcmpl-96mugQCC8ilHFfRZITOvj2Nhykbrg", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A global sportswear and footwear brand known for their iconic \"Just Do It\" slogan and endorsement of famous athletes.\n- Wikipedia: A free online encyclopedia containing articles on a wide range of topics, maintained and edited by volunteers from around the world.\n- Nike Ad: Refers to the advertising campaign run by Nike to promote their products, often featuring renowned athletes and inspiring messages." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 79, "promptTokens": 168, "totalTokens": 247 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "There are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M" }, "metavars": { "": "2", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nBelieve in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nBelieve in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "52c6e95e-7cb7-43d5-8a1d-f10ea806fb7f", "responses": [ "- DJ ThrillBill: DJ ThrillBill is a renowned DJ based in Charlotte, North Carolina, known for being one of the coolest DJs in the world and having a significant following.\n- Nike: Nike is a well-known multinational corporation specializing in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- 704: 704 is the area code for Charlotte, North Carolina, in the United States. It is frequently used to represent the city or various businesses and organizations based in that area." ], "raw_response": { "id": "chatcmpl-96mugNrLPViN99l9nQCuE7phc2FjR", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- DJ ThrillBill: DJ ThrillBill is a renowned DJ based in Charlotte, North Carolina, known for being one of the coolest DJs in the world and having a significant following.\n- Nike: Nike is a well-known multinational corporation specializing in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- 704: 704 is the area code for Charlotte, North Carolina, in the United States. It is frequently used to represent the city or various businesses and organizations based in that area." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 107, "promptTokens": 177, "totalTokens": 284 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Believe in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08" }, "metavars": { "": "71", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "49f1fb1e-1eb0-4d9f-8964-c81312a8c604", "responses": [ "- Nike: Nike, Inc. is an American multinational corporation that designs, manufactures, and markets footwear, apparel, equipment, and accessories.\n- Donald Trump: Donald John Trump Sr. is an American politician who served as the 45th president of the United States from 2017 to 2021.\n- JUST DO IT: \"Just Do It\" is a trademark and slogan of Nike, inspiring people to take action and overcome obstacles." ], "raw_response": { "id": "chatcmpl-96mugBWjV6zXEG3cFjuQFFMTfTrHX", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: Nike, Inc. is an American multinational corporation that designs, manufactures, and markets footwear, apparel, equipment, and accessories.\n- Donald Trump: Donald John Trump Sr. is an American politician who served as the 45th president of the United States from 2017 to 2021.\n- JUST DO IT: \"Just Do It\" is a trademark and slogan of Nike, inspiring people to take action and overcome obstacles." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 89, "promptTokens": 128, "totalTokens": 217 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT" }, "metavars": { "": "5", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAbortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAbortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "953f6abc-3371-42ea-8402-6c0d0698e705", "responses": [ "- entity: Abortion\n description: A medical procedure that terminates a pregnancy, resulting in the ending of the development and growth of a fetus.\n- entity: Kavanaugh\n description: Referring to Brett Kavanaugh, an American lawyer and jurist who served as an Associate Justice of the Supreme Court of the United States.\n- entity: Democrats\n description: Referring to the Democratic Party, one of the two major political parties in the United States, characterized by its liberal and progressive policies." ], "raw_response": { "id": "chatcmpl-96mugPA7QbGpMk6bBoH9Aso9ys5bu", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Abortion\n description: A medical procedure that terminates a pregnancy, resulting in the ending of the development and growth of a fetus.\n- entity: Kavanaugh\n description: Referring to Brett Kavanaugh, an American lawyer and jurist who served as an Associate Justice of the Supreme Court of the United States.\n- entity: Democrats\n description: Referring to the Democratic Party, one of the two major political parties in the United States, characterized by its liberal and progressive policies." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 100, "promptTokens": 147, "totalTokens": 247 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Abortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit" }, "metavars": { "": "19", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nShout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nShout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "95b486f0-308d-4b77-899d-91d386dce73f", "responses": [ "- Great Fire Department: This refers to the New York City Fire Department (FDNY), which is responsible for protecting the citizens and property of New York City from fires and other emergencies.\n- NYC: This refers to New York City, a major metropolitan city located in the state of New York, USA. It is known for its rich cultural diversity and being a global hub for finance, media, art, and entertainment.\n- FDNY: This stands for the New York City Fire Department, mentioned previously, which is responsible for providing fire suppression and rescue services in the five boroughs of New York City." ], "raw_response": { "id": "chatcmpl-96mug1eKkZfLMTyWBjBfQ7076f93E", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Great Fire Department: This refers to the New York City Fire Department (FDNY), which is responsible for protecting the citizens and property of New York City from fires and other emergencies.\n- NYC: This refers to New York City, a major metropolitan city located in the state of New York, USA. It is known for its rich cultural diversity and being a global hub for finance, media, art, and entertainment.\n- FDNY: This stands for the New York City Fire Department, mentioned previously, which is responsible for providing fire suppression and rescue services in the five boroughs of New York City." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 121, "promptTokens": 211, "totalTokens": 332 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Shout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo" }, "metavars": { "": "1", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nStand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nStand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "22e96c09-2c4a-420b-912a-c3af99e164f4", "responses": [ "- Nike: A well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- Just Do It: Nike's iconic slogan, often used as a motivational phrase encouraging individuals to take action and pursue their goals.\n- Colin Kaepernick: A former professional American football quarterback known for his activism and advocacy, particularly against racial injustice and police brutality." ], "raw_response": { "id": "chatcmpl-96mugaSRLo47MXESLVVAFoDQtRA63", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- Just Do It: Nike's iconic slogan, often used as a motivational phrase encouraging individuals to take action and pursue their goals.\n- Colin Kaepernick: A former professional American football quarterback known for his activism and advocacy, particularly against racial injustice and police brutality." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 83, "promptTokens": 135, "totalTokens": 218 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Stand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z" }, "metavars": { "": "82", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "ef6b4b19-c6f3-461e-bcbf-4612baa45990", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Kyrie: Referring to Kyrie Irving, a professional basketball player who plays for the Brooklyn Nets in the National Basketball Association (NBA).\n- LeBron: Referring to LeBron James, a professional basketball player who currently plays for the Los Angeles Lakers in the NBA. He is considered one of the greatest basketball players of all time." ], "raw_response": { "id": "chatcmpl-96muggFrU7XGhqcE3c4eRv7ScEHBK", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Kyrie: Referring to Kyrie Irving, a professional basketball player who plays for the Brooklyn Nets in the National Basketball Association (NBA).\n- LeBron: Referring to LeBron James, a professional basketball player who currently plays for the Los Angeles Lakers in the NBA. He is considered one of the greatest basketball players of all time." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 95, "promptTokens": 184, "totalTokens": 279 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker" }, "metavars": { "": "45", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "50d923e6-afa6-445b-bd05-33f33ae20007", "responses": [ "- entity: Nike\n description: Nike is a multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former National Football League (NFL) quarterback who gained widespread attention for his protests against racial injustice and police brutality by kneeling during the national anthem before NFL games.\n- entity: Just Do It\n description: \"Just Do It\" is a slogan created by Nike that has been used in various advertising campaigns to encourage people to take action and overcome challenges." ], "raw_response": { "id": "chatcmpl-96mugV6iRHLGWYIIQPEbyXfbLqUvm", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike\n description: Nike is a multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former National Football League (NFL) quarterback who gained widespread attention for his protests against racial injustice and police brutality by kneeling during the national anthem before NFL games.\n- entity: Just Do It\n description: \"Just Do It\" is a slogan created by Nike that has been used in various advertising campaigns to encourage people to take action and overcome challenges." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 117, "promptTokens": 133, "totalTokens": 250 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt" }, "metavars": { "": "79", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "91a7e003-5435-42a5-b992-f00d3031fff5", "responses": [ "- Just Do It: A slogan used by the international sportswear brand Nike to encourage people to take action and achieve their goals.\n- Maga: An acronym for \"Make America Great Again,\" which is a political slogan associated with Donald Trump's 2016 presidential campaign and his presidency.\n- Fake News: A term used to describe false or misleading information presented as news, often used to discredit media outlets or stories." ], "raw_response": { "id": "chatcmpl-96muglrjc5FWaSXJkhMaKRw8lUa1a", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Just Do It: A slogan used by the international sportswear brand Nike to encourage people to take action and achieve their goals.\n- Maga: An acronym for \"Make America Great Again,\" which is a political slogan associated with Donald Trump's 2016 presidential campaign and his presidency.\n- Fake News: A term used to describe false or misleading information presented as news, often used to discredit media outlets or stories." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 85, "promptTokens": 179, "totalTokens": 264 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J" }, "metavars": { "": "16", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "2e1eeb38-f4ad-4efb-97ef-f7954f717eae", "responses": [ "- LeBron: LeBron James is a professional basketball player widely regarded as one of the greatest players of all time. He has played for multiple teams in the NBA and has won several championships and individual awards.\n- Nike: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories. It is one of the world's largest suppliers of athletic shoes and apparel and is known for its iconic \"Swoosh\" logo.\n- Just Do It: \"Just Do It\" is a well-known slogan associated with Nike. It is a motivational phrase that encourages people to overcome obstacles and pursue their goals." ], "raw_response": { "id": "chatcmpl-96mugNs6V3b9NBPP7I1DvxyuBMc5e", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- LeBron: LeBron James is a professional basketball player widely regarded as one of the greatest players of all time. He has played for multiple teams in the NBA and has won several championships and individual awards.\n- Nike: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories. It is one of the world's largest suppliers of athletic shoes and apparel and is known for its iconic \"Swoosh\" logo.\n- Just Do It: \"Just Do It\" is a well-known slogan associated with Nike. It is a motivational phrase that encourages people to overcome obstacles and pursue their goals." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 127, "promptTokens": 134, "totalTokens": 261 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt" }, "metavars": { "": "42", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "6ebbd114-f127-4034-bacc-1b71c2d961e2", "responses": [ "- Nike: A multinational corporation specializing in the design, development, manufacturing, and sales of athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: A former professional American football player known for kneeling during the national anthem as a form of protest against racial injustice and police brutality.\n- Stevie Wonder: A legendary American singer, songwriter, and musician who is considered one of the most influential musicians of the 20th century, known for his soulful voice and ability to play multiple instruments." ], "raw_response": { "id": "chatcmpl-96mugd8PHLp3IUwGrBZGPgTzHt2Vf", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Nike: A multinational corporation specializing in the design, development, manufacturing, and sales of athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: A former professional American football player known for kneeling during the national anthem as a form of protest against racial injustice and police brutality.\n- Stevie Wonder: A legendary American singer, songwriter, and musician who is considered one of the most influential musicians of the 20th century, known for his soulful voice and ability to play multiple instruments." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 100, "promptTokens": 152, "totalTokens": 252 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "This is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd" }, "metavars": { "": "88", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\njust doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\njust doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "fa29021d-d447-4e9a-bc2b-d0c5aec8f233", "responses": [ "- entity: Nike\n description: Nike is a multinational corporation specializing in the design, manufacture, and marketing of athletic apparel, footwear, equipment, and accessories.\n\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former professional football quarterback known for his activism against racial injustice and police brutality. He gained significant attention for kneeling during the national anthem as a peaceful protest.\n\n- entity: Nike NYHQ\n description: Nike NYHQ refers to Nike's New York Headquarters, which serves as the company's office and strategic hub in New York City." ], "raw_response": { "id": "chatcmpl-96mugNeAHyZWl4AdFxLX5fgMD09ZL", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike\n description: Nike is a multinational corporation specializing in the design, manufacture, and marketing of athletic apparel, footwear, equipment, and accessories.\n\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former professional football quarterback known for his activism against racial injustice and police brutality. He gained significant attention for kneeling during the national anthem as a peaceful protest.\n\n- entity: Nike NYHQ\n description: Nike NYHQ refers to Nike's New York Headquarters, which serves as the company's office and strategic hub in New York City." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 112, "promptTokens": 149, "totalTokens": 261 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "just doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI" }, "metavars": { "": "60", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "899128ff-46c8-40c2-b6d0-8b625f665998", "responses": [ "- Bravotv: A television network that focuses on reality TV shows, including popular franchises like The Real Housewives.\n- BravoWWHL: Stands for Bravo's Watch What Happens Live, a late-night talk show hosted by Andy Cohen that features celebrity interviews, games, and discussions about Bravo's reality TV shows.\n- Paris Hilton: A well-known American socialite, businesswoman, and media personality, known for her appearance on the reality TV show The Simple Life and her work as a singer, actress, and entrepreneur." ], "raw_response": { "id": "chatcmpl-96mugYrnMrR0MpHgMz5Wmv4PHhBBb", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Bravotv: A television network that focuses on reality TV shows, including popular franchises like The Real Housewives.\n- BravoWWHL: Stands for Bravo's Watch What Happens Live, a late-night talk show hosted by Andy Cohen that features celebrity interviews, games, and discussions about Bravo's reality TV shows.\n- Paris Hilton: A well-known American socialite, businesswoman, and media personality, known for her appearance on the reality TV show The Simple Life and her work as a singer, actress, and entrepreneur." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 108, "promptTokens": 148, "totalTokens": 256 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "YOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq" }, "metavars": { "": "28", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nCheck Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nCheck Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "da28c648-fbcb-4e95-a478-debc59eca323", "responses": [ "- entity: Facebook Live\n - description: Facebook Live is a feature of the social media platform Facebook that allows users to broadcast live videos to their followers in real-time.\n- entity: Nike (Just Do It)\n - description: Nike is a multinational corporation known for manufacturing and selling athletic footwear, apparel, equipment, and accessories. \"Just Do It\" is Nike's famous slogan, encouraging people to take action and pursue their goals.\n- entity: Nurse\n - description: A nurse is a healthcare professional who is trained to provide medical care and assistance to individuals, families, and communities. Nurses play a vital role in promoting and maintaining health, preventing illness, and caring for the sick and injured." ], "raw_response": { "id": "chatcmpl-96mugWZIhYfp2zzbjFnNnuQQTSsHf", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Facebook Live\n - description: Facebook Live is a feature of the social media platform Facebook that allows users to broadcast live videos to their followers in real-time.\n- entity: Nike (Just Do It)\n - description: Nike is a multinational corporation known for manufacturing and selling athletic footwear, apparel, equipment, and accessories. \"Just Do It\" is Nike's famous slogan, encouraging people to take action and pursue their goals.\n- entity: Nurse\n - description: A nurse is a healthcare professional who is trained to provide medical care and assistance to individuals, families, and communities. Nurses play a vital role in promoting and maintaining health, preventing illness, and caring for the sick and injured." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 143, "promptTokens": 170, "totalTokens": 313 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Check Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav" }, "metavars": { "": "61", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "08627962-296c-4cdd-bd4e-b3b785dfc1e3", "responses": [ "- entity: Nike\n description: Nike is a multinational corporation that designs, manufactures, and sells athletic shoes, clothing, and accessories.\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former professional American football quarterback who became known for his protests against racial injustice by kneeling during the national anthem.\n- entity: Black Power\n description: Black Power is a political slogan and a name for various associated ideologies aimed at achieving self-determination for people of African descent." ], "raw_response": { "id": "chatcmpl-96mugs3lCjHebayyhN73IlkuBfgrf", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike\n description: Nike is a multinational corporation that designs, manufactures, and sells athletic shoes, clothing, and accessories.\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former professional American football quarterback who became known for his protests against racial injustice by kneeling during the national anthem.\n- entity: Black Power\n description: Black Power is a political slogan and a name for various associated ideologies aimed at achieving self-determination for people of African descent." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 96, "promptTokens": 138, "totalTokens": 234 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Just Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W" }, "metavars": { "": "90", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "ddb8c8ba-26d3-449e-b396-ca5f9cd54102", "responses": [ "- Colin: Colin Kaepernick, an American football quarterback who gained attention for protesting against racial injustice and police brutality by kneeling during the national anthem.\n- Urkel: Steve Urkel, a fictional character from the TV show \"Family Matters,\" known for his trademark suspenders, glasses, and clumsy demeanor.\n- Nike: Nike, Inc., an American multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, and accessories." ], "raw_response": { "id": "chatcmpl-96mugL0Tazl9V8rVsLmDo7jy2kNFg", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Colin: Colin Kaepernick, an American football quarterback who gained attention for protesting against racial injustice and police brutality by kneeling during the national anthem.\n- Urkel: Steve Urkel, a fictional character from the TV show \"Family Matters,\" known for his trademark suspenders, glasses, and clumsy demeanor.\n- Nike: Nike, Inc., an American multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, and accessories." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 90, "promptTokens": 175, "totalTokens": 265 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "This is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM" }, "metavars": { "": "56", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "e80addf9-a970-447a-887e-4403d1552c61", "responses": [ "- Lindsey Graham: U.S. Senator Lindsey Graham, who represents South Carolina, is known for his strong conservative stance and his role in various political debates, particularly on foreign policy and national security issues.\n- Marco Rubio: Marco Rubio is a prominent American politician and U.S. Senator from Florida. He gained national attention during his bid for the Republican nomination in the 2016 presidential election and has been actively involved in legislative efforts on immigration and foreign policy.\n- Lisa Murkowski: Lisa Murkowski is a Republican U.S. Senator from Alaska. She is known for her independent stance on various issues and has been a key player in energy and natural resource policy, particularly in relation to her home state." ], "raw_response": { "id": "chatcmpl-96mugCUKnxxFM0V9dJ2h0zRpquK7t", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Lindsey Graham: U.S. Senator Lindsey Graham, who represents South Carolina, is known for his strong conservative stance and his role in various political debates, particularly on foreign policy and national security issues.\n- Marco Rubio: Marco Rubio is a prominent American politician and U.S. Senator from Florida. He gained national attention during his bid for the Republican nomination in the 2016 presidential election and has been actively involved in legislative efforts on immigration and foreign policy.\n- Lisa Murkowski: Lisa Murkowski is a Republican U.S. Senator from Alaska. She is known for her independent stance on various issues and has been a key player in energy and natural resource policy, particularly in relation to her home state." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 140, "promptTokens": 190, "totalTokens": 330 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit" }, "metavars": { "": "94", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWe out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWe out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "50851c56-4e8e-4890-b946-f1ba2001eaed", "responses": [ "- entity: Nike \n description: Nike is a well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Tanger Outlets\n description: Tanger Outlets is a chain of outlet shopping centers that offers a wide range of brand-name and designer fashions at discounted prices.\n- entity: Grand Rapids\n description: Grand Rapids is a city in Michigan, USA, known for its vibrant arts scene, picturesque riverfront, and numerous museums." ], "raw_response": { "id": "chatcmpl-96mugSoknRVSmR2Uz9F09qAu47Fmd", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike \n description: Nike is a well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Tanger Outlets\n description: Tanger Outlets is a chain of outlet shopping centers that offers a wide range of brand-name and designer fashions at discounted prices.\n- entity: Grand Rapids\n description: Grand Rapids is a city in Michigan, USA, known for its vibrant arts scene, picturesque riverfront, and numerous museums." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 111, "promptTokens": 135, "totalTokens": 246 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "We out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg" }, "metavars": { "": "80", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "6d0987c4-905a-4f0c-8d18-55f0e8da237e", "responses": [ "- entity: Nike\n - description: Nike is a well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, accessories, equipment, and services.\n- entity: Just Do It\n - description: \"Just Do It\" is a famous slogan created by Nike, often associated with their brand and marketing campaigns, promoting a proactive and determined attitude towards achieving one's goals.\n- entity: Nike, Inc.\n - description: Nike, Inc. is the parent company of the Nike brand, known for its iconic swoosh logo. Founded by Bill Bowerman and Phil Knight, it is one of the world's largest suppliers of athletic shoes and apparel, as well as a major manufacturer of sports equipment." ], "raw_response": { "id": "chatcmpl-96mugf9hRbRGxsyDc53H0oox8MMmp", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike\n - description: Nike is a well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, accessories, equipment, and services.\n- entity: Just Do It\n - description: \"Just Do It\" is a famous slogan created by Nike, often associated with their brand and marketing campaigns, promoting a proactive and determined attitude towards achieving one's goals.\n- entity: Nike, Inc.\n - description: Nike, Inc. is the parent company of the Nike brand, known for its iconic swoosh logo. Founded by Bill Bowerman and Phil Knight, it is one of the world's largest suppliers of athletic shoes and apparel, as well as a major manufacturer of sports equipment." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 152, "promptTokens": 153, "totalTokens": 305 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA" }, "metavars": { "": "78", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "2fbeb35b-bb0e-4f68-86d2-29e7d133b0a4", "responses": [ "- `President Trump`: The 45th and current President of the United States, Donald J. Trump. He is a businessman and television personality who became the President in January 2017.\n- `Trump2020`: A reelection campaign slogan for Donald Trump's presidential campaign in the year 2020. It refers to his candidacy for a second term as President of the United States.\n- `RedWave`: A political term used to describe a hypothetical wave election where the Republican Party gains a significant number of seats in Congress. It is often associated with President Trump's call for support during midterm elections." ], "raw_response": { "id": "chatcmpl-96mugOp7LoWfqPXtIZm74B0ztGl7t", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- `President Trump`: The 45th and current President of the United States, Donald J. Trump. He is a businessman and television personality who became the President in January 2017.\n- `Trump2020`: A reelection campaign slogan for Donald Trump's presidential campaign in the year 2020. It refers to his candidacy for a second term as President of the United States.\n- `RedWave`: A political term used to describe a hypothetical wave election where the Republican Party gains a significant number of seats in Congress. It is often associated with President Trump's call for support during midterm elections." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 121, "promptTokens": 194, "totalTokens": 315 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5" }, "metavars": { "": "67", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "69c5e982-9943-4dbd-a8b4-fc6133a49814", "responses": [ "- entity: Lion\n description: The lion is a large carnivorous mammal of the cat family, native to Africa and characterized by its strong, regal appearance.\n- entity: Just Do It\n description: \"Just Do It\" is a motivational slogan used by the sportswear company Nike, encouraging people to take action and pursue their goals.\n- entity: Nike\n description: Nike is a multinational corporation known for designing, manufacturing, and selling athletic shoes, clothing, and accessories." ], "raw_response": { "id": "chatcmpl-96mugPzBWjQmrZYD1WOOfIWEvgyRr", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Lion\n description: The lion is a large carnivorous mammal of the cat family, native to Africa and characterized by its strong, regal appearance.\n- entity: Just Do It\n description: \"Just Do It\" is a motivational slogan used by the sportswear company Nike, encouraging people to take action and pursue their goals.\n- entity: Nike\n description: Nike is a multinational corporation known for designing, manufacturing, and selling athletic shoes, clothing, and accessories." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 102, "promptTokens": 129, "totalTokens": 231 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Why be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR" }, "metavars": { "": "15", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nOne Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nOne Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "a831d0c9-5e95-4971-8523-d75253713e2a", "responses": [ "- Shaquem Griffin: Shaquem Griffin is an American football player who plays in the National Football League (NFL) for the Seattle Seahawks. He became widely known for his inspiring story of overcoming adversity and achieving success in professional football.\n- Seattle Seahawks: The Seattle Seahawks are a professional football team based in Seattle, Washington. They are a member of the NFL and have achieved success and popularity over the years.\n- Nike: Nike is a multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories. It is one of the world's largest and most recognizable sportswear brands." ], "raw_response": { "id": "chatcmpl-96mugDvJGANnMyl87YWYJ13c2Qscj", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- Shaquem Griffin: Shaquem Griffin is an American football player who plays in the National Football League (NFL) for the Seattle Seahawks. He became widely known for his inspiring story of overcoming adversity and achieving success in professional football.\n- Seattle Seahawks: The Seattle Seahawks are a professional football team based in Seattle, Washington. They are a member of the NFL and have achieved success and popularity over the years.\n- Nike: Nike is a multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories. It is one of the world's largest and most recognizable sportswear brands." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 128, "promptTokens": 162, "totalTokens": 290 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "One Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7" }, "metavars": { "": "4", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nHey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nHey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "e386d1be-1178-4285-b6d3-a465dede6b33", "responses": [ "- entity: Nike\n - description: Nike is a well-known multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Marine\n - description: A marine refers to a member of the United States Marine Corps, which is a branch of the United States Armed Forces. Marines are trained as infantry and are known for their dedication and service to their country.\n- entity: United States Armed Forces\n - description: The United States Armed Forces is the military force of the United States. It consists of the Army, Navy, Air Force, Marine Corps, and Coast Guard and is responsible for the defense of the United States." ], "raw_response": { "id": "chatcmpl-96mug3aFoLEgMhURmNOEuQDIwC8iH", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: Nike\n - description: Nike is a well-known multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Marine\n - description: A marine refers to a member of the United States Marine Corps, which is a branch of the United States Armed Forces. Marines are trained as infantry and are known for their dedication and service to their country.\n- entity: United States Armed Forces\n - description: The United States Armed Forces is the military force of the United States. It consists of the Army, Navy, Air Force, Marine Corps, and Coast Guard and is responsible for the defense of the United States." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 141, "promptTokens": 172, "totalTokens": 313 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": "Hey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt" }, "metavars": { "": "17", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ], "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n.@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n": [ { "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n.@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "query": { "n": 1, "temperature": 1, "api_version": "2023-05-15", "response_format": { "type": "text" }, "top_p": 1, "presence_penalty": 0, "frequency_penalty": 0 }, "uid": "5e7e9d93-39db-4616-9ce9-f83825ba671d", "responses": [ "- entity: TMZ\n - description: TMZ is a celebrity news and gossip website that provides up-to-the-minute entertainment news and coverage on celebrities, Hollywood events, and pop culture.\n- entity: Nike\n - description: Nike is a multinational corporation specializing in the design, development, manufacturing, and marketing of athletic shoes, apparel, equipment, accessories, and services.\n- entity: JustDoIt\n - description: Just Do It is a well-known slogan and advertising campaign used by Nike to encourage people to push their limits and achieve their goals in sports and everyday life." ], "raw_response": { "id": "chatcmpl-96mugepS2W1luHw7vh3kTeAjZEKbV", "created": "1970-01-20T19:23:25.018Z", "choices": [ { "message": { "role": "assistant", "content": "- entity: TMZ\n - description: TMZ is a celebrity news and gossip website that provides up-to-the-minute entertainment news and coverage on celebrities, Hollywood events, and pop culture.\n- entity: Nike\n - description: Nike is a multinational corporation specializing in the design, development, manufacturing, and marketing of athletic shoes, apparel, equipment, accessories, and services.\n- entity: JustDoIt\n - description: Just Do It is a well-known slogan and advertising campaign used by Nike to encourage people to push their limits and achieve their goals in sports and everyday life." }, "index": 0, "finishReason": "stop", "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "promptFilterResults": [ { "promptIndex": 0, "contentFilterResults": { "sexual": { "severity": "safe", "filtered": false }, "violence": { "severity": "safe", "filtered": false }, "hate": { "severity": "safe", "filtered": false }, "selfHarm": { "severity": "safe", "filtered": false } } } ], "usage": { "completionTokens": 117, "promptTokens": 134, "totalTokens": 251 } }, "llm": "Azure OpenAI", "info": { "tweet_full_text": ".@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC" }, "metavars": { "": "96", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" } } ] }, "prompt-1711152367542.json": { "cache_files": { "prompt-1711152367542_0.json": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } } }, "responses_last_run": [ { "vars": { "tweet_full_text": "Done is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6" }, "metavars": { "": "0", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDone is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Sheryl Sandberg: Sheryl Sandberg is an American technology executive, author, and billionaire philanthropist. She is the Chief Operating Officer (COO) of Facebook and the founder of LeanIn.Org." ], "uid": "b4d8d403-ed4c-4b06-9638-d314d87202a3" }, { "vars": { "tweet_full_text": "Shout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo" }, "metavars": { "": "1", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nShout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Great Fire Department: This refers to the New York City Fire Department (FDNY), which is responsible for protecting the citizens and property of New York City from fires and other emergencies.\n- NYC: This refers to New York City, a major metropolitan city located in the state of New York, USA. It is known for its rich cultural diversity and being a global hub for finance, media, art, and entertainment.\n- FDNY: This stands for the New York City Fire Department, mentioned previously, which is responsible for providing fire suppression and rescue services in the five boroughs of New York City." ], "uid": "95b486f0-308d-4b77-899d-91d386dce73f" }, { "vars": { "tweet_full_text": "There are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M" }, "metavars": { "": "2", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThere are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A global sportswear and footwear brand known for their iconic \"Just Do It\" slogan and endorsement of famous athletes.\n- Wikipedia: A free online encyclopedia containing articles on a wide range of topics, maintained and edited by volunteers from around the world.\n- Nike Ad: Refers to the advertising campaign run by Nike to promote their products, often featuring renowned athletes and inspiring messages." ], "uid": "fb5ceda0-3704-4237-8ad5-1bc3f78e13d3" }, { "vars": { "tweet_full_text": "#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU" }, "metavars": { "": "3", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation specializing in the design, manufacturing, and sales of sports apparel, footwear, equipment, and accessories.\n- Nike's \"Just Do It\": A motivational slogan created by Nike to encourage individuals to push their limits and overcome obstacles in sports and life.\n- Lucas Bishop: A fictional character in the Marvel Comics universe, known as a mutant with the ability to absorb energy and redirect it as concussive blasts." ], "uid": "0a2a8129-6e61-40d8-a336-fd17ba7b8a6e" }, { "vars": { "tweet_full_text": "One Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7" }, "metavars": { "": "4", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nOne Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Shaquem Griffin: Shaquem Griffin is an American football player who plays in the National Football League (NFL) for the Seattle Seahawks. He became widely known for his inspiring story of overcoming adversity and achieving success in professional football.\n- Seattle Seahawks: The Seattle Seahawks are a professional football team based in Seattle, Washington. They are a member of the NFL and have achieved success and popularity over the years.\n- Nike: Nike is a multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories. It is one of the world's largest and most recognizable sportswear brands." ], "uid": "a831d0c9-5e95-4971-8523-d75253713e2a" }, { "vars": { "tweet_full_text": "@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT" }, "metavars": { "": "5", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: Nike, Inc. is an American multinational corporation that designs, manufactures, and markets footwear, apparel, equipment, and accessories.\n- Donald Trump: Donald John Trump Sr. is an American politician who served as the 45th president of the United States from 2017 to 2021.\n- JUST DO IT: \"Just Do It\" is a trademark and slogan of Nike, inspiring people to take action and overcome obstacles." ], "uid": "49f1fb1e-1eb0-4d9f-8964-c81312a8c604" }, { "vars": { "tweet_full_text": "Why won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH" }, "metavars": { "": "6", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Donald Trump: The 45th President of the United States.\n- entity: Elections: A process where citizens cast votes to choose individuals to hold public office.\n- entity: Nike: An American multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories." ], "uid": "1b4300c3-23f6-46f5-a681-2200d0290ac5" }, { "vars": { "tweet_full_text": "@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt" }, "metavars": { "": "7", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation specializing in athletic footwear, apparel, and accessories.\n- Just Do It: A famous slogan used by Nike in its marketing campaigns to encourage people to pursue their goals and dreams." ], "uid": "68acd884-650b-43a2-b5b4-328d21949af4" }, { "vars": { "tweet_full_text": "GREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ" }, "metavars": { "": "8", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nGREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that designs, develops, and sells athletic wear, including footwear, apparel, and accessories.\n- Nike Store: A retail store owned by Nike Inc., where customers can purchase Nike products.\n- Colin Kaepernick: A former professional American football quarterback known for his activism against racial injustice and police brutality, specifically for kneeling during the national anthem." ], "uid": "6dda5873-8748-48e3-8372-481502cf34fe" }, { "vars": { "tweet_full_text": "Lead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq" }, "metavars": { "": "9", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nLead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- ICM: ICM stands for International Capital Market, a leading online trading platform for forex, CFDs, and commodities.\n- TRADERMONI: TraderMoni is a social intervention program in Nigeria that provides loans to small-scale traders." ], "uid": "5411ee35-0f92-45b1-8fdb-b95bcd918193" }, { "vars": { "tweet_full_text": "My favorites so far #JustDoIt https://t.co/zY7VDa5Q0X" }, "metavars": { "": "10", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMy favorites so far #JustDoIt https://t.co/zY7VDa5Q0X\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that designs, develops, and manufactures athletic footwear, clothing, accessories, and equipment.\n- JustDoIt: The famous slogan and trademark of Nike, encouraging people to be active and fearless.\n- Twitter: A social media platform that allows users to post and interact with messages known as tweets." ], "uid": "161d0772-5a41-4a08-b1a6-2c42e94923ff" }, { "vars": { "tweet_full_text": "Colin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN" }, "metavars": { "": "11", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nColin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Colin Kaepernick: He is a former professional American football player known for his activism against racial injustice, particularly in the form of kneeling during the national anthem.\n- Nike: It is a multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, and accessories.\n- Black Lives Matter: It is a social movement advocating for the rights and equality of black people, specifically in response to violence and systemic racism." ], "uid": "489f5517-11a5-4e69-832f-df53284d4a56" }, { "vars": { "tweet_full_text": "@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)" }, "metavars": { "": "12", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- CSPensions: a Canadian company that provides pension plans for civil servants and federal government employees\n- Nike: a multinational corporation known for its athletic shoes, apparel, and sports equipment\n- Lion: a large carnivorous mammal of the Felidae family, known for its majestic appearance and strong predatory abilities" ], "uid": "c6f64b03-6ea6-45b8-a3df-3e76d6b4f33a" }, { "vars": { "tweet_full_text": "@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt" }, "metavars": { "": "13", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Colin Kaepernick: A former professional American football player known for his protests against racial injustice by kneeling during the national anthem.\n- Nike: A multinational corporation specializing in the design, development, manufacturing, and marketing of athletic apparel, footwear, accessories, and equipment.\n- Donald Trump: The 45th President of the United States, a businessman, and television personality." ], "uid": "3fd687a9-e76e-4a26-86b7-6f6009388a3c" }, { "vars": { "tweet_full_text": "@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr" }, "metavars": { "": "14", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- `RepAdamSchiff`: Adam Schiff is a United States politician who serves as the U.S. Representative for California's 28th congressional district. He is a member of the Democratic Party.\n- `JustDoIt`: \"Just Do It\" is a well-known slogan and trademark of the American sportswear company Nike. It is often associated with motivation and determination.\n- `SpartacAssJr`: No well-known entity was found for this term." ], "uid": "596b6b42-72c4-47c6-b167-cd03f20e9798" }, { "vars": { "tweet_full_text": "Why be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR" }, "metavars": { "": "15", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Lion\n description: The lion is a large carnivorous mammal of the cat family, native to Africa and characterized by its strong, regal appearance.\n- entity: Just Do It\n description: \"Just Do It\" is a motivational slogan used by the sportswear company Nike, encouraging people to take action and pursue their goals.\n- entity: Nike\n description: Nike is a multinational corporation known for designing, manufacturing, and selling athletic shoes, clothing, and accessories." ], "uid": "69c5e982-9943-4dbd-a8b4-fc6133a49814" }, { "vars": { "tweet_full_text": "#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J" }, "metavars": { "": "16", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Just Do It: A slogan used by the international sportswear brand Nike to encourage people to take action and achieve their goals.\n- Maga: An acronym for \"Make America Great Again,\" which is a political slogan associated with Donald Trump's 2016 presidential campaign and his presidency.\n- Fake News: A term used to describe false or misleading information presented as news, often used to discredit media outlets or stories." ], "uid": "91a7e003-5435-42a5-b992-f00d3031fff5" }, { "vars": { "tweet_full_text": "Hey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt" }, "metavars": { "": "17", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nHey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike\n - description: Nike is a well-known multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Marine\n - description: A marine refers to a member of the United States Marine Corps, which is a branch of the United States Armed Forces. Marines are trained as infantry and are known for their dedication and service to their country.\n- entity: United States Armed Forces\n - description: The United States Armed Forces is the military force of the United States. It consists of the Army, Navy, Air Force, Marine Corps, and Coast Guard and is responsible for the defense of the United States." ], "uid": "e386d1be-1178-4285-b6d3-a465dede6b33" }, { "vars": { "tweet_full_text": "I’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l" }, "metavars": { "": "18", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nI’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Just Do It\n description: Nike's slogan for their campaign encouraging people to take action and pursue their goals.\n- entity: Left\n description: Referring to the political ideology that supports social equality and progressive policies.\n- entity: Donald Trump\n description: The 45th President of the United States, known for his controversial policies and outspoken personality." ], "uid": "c3834b93-a6fe-4f90-be24-c97c237c3c81" }, { "vars": { "tweet_full_text": "Abortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit" }, "metavars": { "": "19", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAbortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Abortion\n description: A medical procedure that terminates a pregnancy, resulting in the ending of the development and growth of a fetus.\n- entity: Kavanaugh\n description: Referring to Brett Kavanaugh, an American lawyer and jurist who served as an Associate Justice of the Supreme Court of the United States.\n- entity: Democrats\n description: Referring to the Democratic Party, one of the two major political parties in the United States, characterized by its liberal and progressive policies." ], "uid": "953f6abc-3371-42ea-8402-6c0d0698e705" }, { "vars": { "tweet_full_text": "@Nike My favorite Nike commercial ever!! #JustDoIt" }, "metavars": { "": "20", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike My favorite Nike commercial ever!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: Nike is a multinational corporation known for designing, manufacturing, and selling athletic shoes, apparel, and sports equipment.\n- Just Do It: \"Just Do It\" is a widely recognized slogan and trademark of Nike, often associated with their advertising campaigns, encouraging individuals to push their limits and overcome any obstacles." ], "uid": "71fd4fba-2a70-444a-9780-ccc1a1b0ccf4" }, { "vars": { "tweet_full_text": "Modeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB" }, "metavars": { "": "21", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nModeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- Kaepernick7: Colin Kaepernick, a former professional American football player and a prominent civil rights activist known for his protests against racial injustice and police brutality.\n- Nike Women: A line of clothing and footwear specifically designed for women by the brand Nike." ], "uid": "2140d1aa-9283-455e-b4d6-ef2b509f17ef" }, { "vars": { "tweet_full_text": "You are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg" }, "metavars": { "": "22", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Discount365days: an online platform that offers discounts on various fashion brands throughout the year.\n- JustDoIt: a slogan and registered trademark of the sportswear brand Nike, encouraging individuals to take action and pursue their goals.\n- Nike: a multinational corporation specializing in the design, development, and manufacturing of footwear, apparel, equipment, and accessories for various sports and activities." ], "uid": "4c4e93a3-babb-4c6d-8454-3f0f47ce8a63" }, { "vars": { "tweet_full_text": "My kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm" }, "metavars": { "": "23", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMy kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that designs, manufactures, and sells sports footwear, clothing, and equipment.\n- Lady: A term used to refer to a woman of high social position or noble birth.\n- Just Do It: A motivational slogan used by the sports brand Nike, encouraging individuals to take action and overcome obstacles." ], "uid": "5a0ca3e9-9012-4074-800d-505140da7780" }, { "vars": { "tweet_full_text": "Dream Big & #Justdoit! https://t.co/Vr4GIyGsoj" }, "metavars": { "": "24", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDream Big & #Justdoit! https://t.co/Vr4GIyGsoj\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: a multinational corporation known for designing, manufacturing, and selling athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a famous advertising slogan used by Nike to encourage people to take action and pursue their goals.\n- Twitter: a popular social media platform where users can post, interact with messages known as \"tweets,\" and follow other users." ], "uid": "6ab5411a-84e4-4dfd-b086-557033d2fcbe" }, { "vars": { "tweet_full_text": "Hey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ" }, "metavars": { "": "25", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nHey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- New YouTubers: Individuals or groups who have recently started creating content on the YouTube platform.\n- Relationship Goals: A popular hashtag used on social media platforms to refer to aspirational romantic relationships.\n- Just Do It: A famous slogan coined by the sports brand Nike, encouraging people to take action and pursue their goals." ], "uid": "76b181aa-cd07-4d82-a749-6db2060457ef" }, { "vars": { "tweet_full_text": "Nike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line." }, "metavars": { "": "26", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line.\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that specializes in the design, development, and marketing of athletic apparel, footwear, equipment, and accessories.\n- Just Do It: A slogan created by Nike, encouraging individuals to push their boundaries, take risks, and fulfill their potential." ], "uid": "cf82f271-84c8-49ab-a47e-cccb3726cc24" }, { "vars": { "tweet_full_text": "@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap" }, "metavars": { "": "27", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Donald Trump\n - description: The 45th President of the United States who is often referred to by his Twitter handle \"@realDonaldTrump\".\n- entity: NFL\n - description: The National Football League, the professional American football league in the United States.\n- entity: Nike\n - description: A global sportswear and equipment manufacturing company." ], "uid": "94cd171b-a1d4-434c-9b1e-a0fabccea48b" }, { "vars": { "tweet_full_text": "YOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq" }, "metavars": { "": "28", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Bravotv: A television network that focuses on reality TV shows, including popular franchises like The Real Housewives.\n- BravoWWHL: Stands for Bravo's Watch What Happens Live, a late-night talk show hosted by Andy Cohen that features celebrity interviews, games, and discussions about Bravo's reality TV shows.\n- Paris Hilton: A well-known American socialite, businesswoman, and media personality, known for her appearance on the reality TV show The Simple Life and her work as a singer, actress, and entrepreneur." ], "uid": "899128ff-46c8-40c2-b6d0-8b625f665998" }, { "vars": { "tweet_full_text": "Don't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu" }, "metavars": { "": "29", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDon't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Berkhan: A popular fitness blogger and intermittent fasting advocate known for his expertise in body recomposition and muscle building.\n- Friday: The day of the week that is considered the end of the workweek in many cultures and is often associated with relaxation and fun activities." ], "uid": "dbca1e9a-c96c-4645-ba73-a876227b8493" }, { "vars": { "tweet_full_text": "\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6" }, "metavars": { "": "30", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: a multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, accessories, and services.\n- JustDoIt: Nike's slogan, known for encouraging individuals to have the determination and willpower to overcome obstacles and achieve their goals.\n- #JustDoIt: a hashtag associated with Nike's campaign and brand message, encouraging people to take action and pursue their ambitions." ], "uid": "b95d06c7-a539-463a-8d49-7751d5a149b7" }, { "vars": { "tweet_full_text": "Why yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM" }, "metavars": { "": "31", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike\n - description: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- entity: Mike Tyson\n - description: Mike Tyson is a former professional boxer who is considered one of the greatest heavyweights in the history of the sport.\n- entity: Tyson\n - description: Tyson is a surname of English origin, but in this context, it likely refers to Mike Tyson." ], "uid": "5090bbe4-cd84-4407-89be-1da581879f2c" }, { "vars": { "tweet_full_text": "#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP" }, "metavars": { "": "32", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Miss America\n description: Miss America is a beauty pageant that has been held annually since 1921.\n- entity: Nike\n description: Nike is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- entity: FEMA\n description: FEMA (Federal Emergency Management Agency) is an agency of the United States Department of Homeland Security, created to coordinate the response to disasters that occur within the United States and that overwhelm the resources of local and state authorities." ], "uid": "45deddcf-c653-4ad9-8ab2-57ca73e076eb" }, { "vars": { "tweet_full_text": "@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt" }, "metavars": { "": "33", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Back to the Future: a science fiction movie franchise directed by Robert Zemeckis, known for its depiction of time travel.\n- Nike Bruins: a type of sneaker released by Nike, based on the shoes worn by the character Marty McFly in the movie Back to the Future." ], "uid": "23f1b01d-8ff2-4ec2-91f9-a3e81ccbed79" }, { "vars": { "tweet_full_text": "The @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy" }, "metavars": { "": "34", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThe @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Elon Musk: Entrepreneur and business magnate, known for his role in creating companies like Tesla, SpaceX, and Neuralink.\n" ], "uid": "2483cf6b-f5de-4260-adac-f9b5f6e42fb5" }, { "vars": { "tweet_full_text": "@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm" }, "metavars": { "": "35", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- @tgirlmiller: A Twitter user.\n- @realDonaldTrump: Donald Trump, the 45th President of the United States.\n- Nike: A well-known multinational corporation that designs and manufactures footwear, apparel, equipment, and accessories." ], "uid": "73f5ff39-46ce-499c-b87f-c5f0c28608c1" }, { "vars": { "tweet_full_text": "@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt" }, "metavars": { "": "36", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A well-known multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Benjamin Franklin: One of the Founding Fathers of the United States who was a polymath, scientist, inventor, writer, and diplomat.\n- Intel: A multinational technology company that is one of the world's largest semiconductor chip manufacturers." ], "uid": "8c1c8384-eb88-46a2-8503-6d4440f692ee" }, { "vars": { "tweet_full_text": "@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI" }, "metavars": { "": "37", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- @realDonaldTrump: Donald Trump is the 45th President of the United States, known for his controversial political style and policies.\n- Kim: This may refer to Kim Jong-un, the Supreme Leader of North Korea, known for his authoritarian rule and tensions with other countries.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football player known for his protest against racial injustice by kneeling during the national anthem." ], "uid": "f946981e-0a9b-4e81-a09e-44186d68d20b" }, { "vars": { "tweet_full_text": "Just do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG" }, "metavars": { "": "38", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, and accessories.\n- Just Do It: A popular tagline and advertising campaign for Nike, encouraging people to push themselves and take action.\n- Cafecito Energy: A brand that offers coffee-based energy drinks to help boost energy levels." ], "uid": "f895f16a-635c-41fe-85cc-d1fefd034ae0" }, { "vars": { "tweet_full_text": "#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb" }, "metavars": { "": "39", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike \n description: A well-known sportswear brand.\n- entity: Joseph Randle \n description: A former professional American football player who played as a running back for the Dallas Cowboys.\n- entity: Dallas Cowboys \n description: A professional American football team based in Dallas, Texas." ], "uid": "d5469f81-e740-435f-a1e4-92c6547ff907" }, { "vars": { "tweet_full_text": "Just left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann" }, "metavars": { "": "40", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation known for designing, manufacturing, and selling athletic footwear, apparel, equipment, and accessories.\n- Rena: It's not clear who Rena is without further context.\n- Kap: It's not clear who Kap is without further context." ], "uid": "09529e9e-7bf2-4bc0-9cc6-1e2352e86edf" }, { "vars": { "tweet_full_text": "#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq" }, "metavars": { "": "41", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Mann Cup 2018: A national lacrosse championship held annually in Canada.\n- Curtis Dickson: A professional lacrosse player who plays for the Calgary Roughnecks in the National Lacrosse League.\n- Nike: A multinational corporation that designs, manufactures, and sells athletic shoes, clothing, and accessories." ], "uid": "7a1f4bc3-ae44-4e9c-a705-f171faae18b0" }, { "vars": { "tweet_full_text": "#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt" }, "metavars": { "": "42", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- LeBron: LeBron James is a professional basketball player widely regarded as one of the greatest players of all time. He has played for multiple teams in the NBA and has won several championships and individual awards.\n- Nike: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories. It is one of the world's largest suppliers of athletic shoes and apparel and is known for its iconic \"Swoosh\" logo.\n- Just Do It: \"Just Do It\" is a well-known slogan associated with Nike. It is a motivational phrase that encourages people to overcome obstacles and pursue their goals." ], "uid": "2e1eeb38-f4ad-4efb-97ef-f7954f717eae" }, { "vars": { "tweet_full_text": "So with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl" }, "metavars": { "": "43", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSo with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Sun: The Sun is the star at the center of the Solar System and is crucial for sustaining life on Earth.\n- Virgo: Virgo is one of the 12 astrological signs of the zodiac, typically associated with those born between August 23 and September 22.\n- Just Do It: \"Just Do It\" is a famous slogan used by the athletic company Nike to encourage people to take action and pursue their goals." ], "uid": "fba6a005-9515-47ba-a522-2cd5f008c002" }, { "vars": { "tweet_full_text": "Mr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt" }, "metavars": { "": "44", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Mr: It is difficult to determine the exact person referred to by \"Mr\" without additional information. \n- Mitch McConnell: Mitch McConnell is an American politician who serves as the United States Senate Majority Leader. \n- GOP: GOP stands for the Grand Old Party, which is a nickname for the Republican Party, one of the two major political parties in the United States." ], "uid": "fbc96176-5151-4500-b0eb-499b220d089d" }, { "vars": { "tweet_full_text": "@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker" }, "metavars": { "": "45", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Kyrie: Referring to Kyrie Irving, a professional basketball player who plays for the Brooklyn Nets in the National Basketball Association (NBA).\n- LeBron: Referring to LeBron James, a professional basketball player who currently plays for the Los Angeles Lakers in the NBA. He is considered one of the greatest basketball players of all time." ], "uid": "ef6b4b19-c6f3-461e-bcbf-4612baa45990" }, { "vars": { "tweet_full_text": "@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee" }, "metavars": { "": "46", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- @realDonaldTrump: Donald Trump is the 45th President of the United States and a prominent businessman.\n- @Nike: Nike is a widely recognized athletic shoe and sportswear company.\n- #TakeTheKnee: Take a Knee movement was initiated by Colin Kaepernick, an American football quarterback, to protest against racial injustice and police brutality in the United States." ], "uid": "39a7dc02-0a95-4ca5-9361-4d534c3afb03" }, { "vars": { "tweet_full_text": "Pure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA" }, "metavars": { "": "47", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nPure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Larry Elder: An American radio show host, author, and political commentator known for his conservative views.\n- Nike: A multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, and accessories.\n- National Anthem: A patriotic song or hymn identified with a country, traditionally played or sung at public ceremonies or events to express allegiance or loyalty to that country." ], "uid": "1b0ef127-c4b7-40a4-98fb-498a794b2a2b" }, { "vars": { "tweet_full_text": "If you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9" }, "metavars": { "": "48", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIf you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, accessories, and services.\n- Just Do It: Nike's slogan, often used to inspire people to take action and pursue their goals.\n- Twitter: A social media platform that allows users to post and interact with short messages, called tweets." ], "uid": "93a931cd-5bdf-4829-b86a-e8bd4e2720ab" }, { "vars": { "tweet_full_text": "New season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn" }, "metavars": { "": "49", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNew season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- ESG Notes: a web series that focuses on Environmental, Social, and Governance (ESG) topics in the investment world.\n- Nike: a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Theranos: a now-defunct health technology company that claimed to have revolutionized blood testing but faced multiple controversies and legal issues." ], "uid": "80b5c9a0-2cd5-4c0c-bbfe-57d096d89427" }, { "vars": { "tweet_full_text": "Invest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro" }, "metavars": { "": "50", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nInvest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- `Mojo50`: Mojo50 is a conservative radio network based in the United States that features various talk shows and hosts.\n- `DocThompsonShow`: The Doc Thompson Show was a talk radio show hosted by Doc Thompson, who was a conservative political commentator and media personality.\n- `Brad Staggs`: Brad Staggs is a radio host and producer known for co-hosting the Doc Thompson Show and his work in conservative talk radio." ], "uid": "6c359e63-3b18-46e3-bf57-8fe74a5d7b77" }, { "vars": { "tweet_full_text": "If you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts" }, "metavars": { "": "51", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIf you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: cremation\n - description: The act of disposing a dead body by burning it to ashes.\n- entity: rocket launcher\n - description: A portable weapon system designed to launch rockets or missiles.\n- entity: Nike\n - description: An American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services." ], "uid": "84204ba8-5928-472d-a5c6-cb821d8fdcfb" }, { "vars": { "tweet_full_text": "@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2" }, "metavars": { "": "52", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: a well-known multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a well-known slogan coined by Nike encouraging individuals to take action and pursue their goals." ], "uid": "b7f52923-8cc2-4eee-b5ed-a3f1afbf8067" }, { "vars": { "tweet_full_text": "Don’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit" }, "metavars": { "": "53", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDon’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and sales of sports apparel, footwear, equipment, and accessories.\n- Donovan Bailey: A retired Canadian sprinter who held the world record for the 100 meters from 1996 to 1999 and won two Olympic gold medals in the 4x100 meters relay.\n- Nike slogan \"Just Do It\": A famous advertising slogan introduced by Nike in 1988, encouraging individuals to overcome obstacles and pursue their dreams without hesitation." ], "uid": "760070eb-831a-4487-95f7-4e8db17717f5" }, { "vars": { "tweet_full_text": "Create Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A" }, "metavars": { "": "54", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nCreate Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: Nike is a well-known multinational corporation that designs, manufactures, and markets athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: Colin Kaepernick is a former professional football quarterback who is known for his activism and advocacy for social justice issues.\n- Just Do It: \"Just Do It\" is a famous marketing tagline by Nike that has become synonymous with their brand and is often associated with empowerment and motivation." ], "uid": "22ebf5ed-720d-41ec-b046-e2cb99b346d8" }, { "vars": { "tweet_full_text": "#Justdoit Vote our & oust McGovern!" }, "metavars": { "": "55", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#Justdoit Vote our & oust McGovern!\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- `McGovern`: George Stanley McGovern (1922-2012) was an American politician and historian who served as a United States Senator from South Dakota from 1963 until 1981. He was the Democratic Party nominee in the 1972 presidential election, but lost to Richard Nixon." ], "uid": "676ae1cf-3051-4792-acce-7bf06d44e703" }, { "vars": { "tweet_full_text": "This is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM" }, "metavars": { "": "56", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Colin: Colin Kaepernick, an American football quarterback who gained attention for protesting against racial injustice and police brutality by kneeling during the national anthem.\n- Urkel: Steve Urkel, a fictional character from the TV show \"Family Matters,\" known for his trademark suspenders, glasses, and clumsy demeanor.\n- Nike: Nike, Inc., an American multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, and accessories." ], "uid": "ddb8c8ba-26d3-449e-b396-ca5f9cd54102" }, { "vars": { "tweet_full_text": "Sounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu" }, "metavars": { "": "57", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike: A multinational corporation that is engaged in the design, development, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- entity: Just Do It: A trademarked slogan used by Nike to promote its products, often associated with motivation and perseverance.\n- entity: First Amendment: The first amendment to the United States Constitution, which guarantees the right to freedom of speech, religion, the press, assembly, and petition." ], "uid": "af417037-3bc7-4bd8-a4bc-192853b32be3" }, { "vars": { "tweet_full_text": "#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog" }, "metavars": { "": "58", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation specializing in sports apparel, footwear, and accessories.\n- Kaepernick: Colin Kaepernick is a former professional American football player, known for his activism and protests against racial injustice during the national anthem. \n- Outrage: A strong feeling of anger or shock in response to an event or situation." ], "uid": "8ba4934b-bc50-407f-b415-00869ced0d24" }, { "vars": { "tweet_full_text": "@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur" }, "metavars": { "": "59", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Donald Trump: The 45th President of the United States, known for his controversial policies and outspoken nature.\n- Nike: A multinational corporation specializing in athletic footwear, apparel, equipment, and accessories.\n- NFL: The National Football League, a professional American football league consisting of 32 teams." ], "uid": "11ea82e0-6be6-4549-a259-ad98914b3343" }, { "vars": { "tweet_full_text": "just doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI" }, "metavars": { "": "60", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\njust doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike\n description: Nike is a multinational corporation specializing in the design, manufacture, and marketing of athletic apparel, footwear, equipment, and accessories.\n\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former professional football quarterback known for his activism against racial injustice and police brutality. He gained significant attention for kneeling during the national anthem as a peaceful protest.\n\n- entity: Nike NYHQ\n description: Nike NYHQ refers to Nike's New York Headquarters, which serves as the company's office and strategic hub in New York City." ], "uid": "fa29021d-d447-4e9a-bc2b-d0c5aec8f233" }, { "vars": { "tweet_full_text": "Check Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav" }, "metavars": { "": "61", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nCheck Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Facebook Live\n - description: Facebook Live is a feature of the social media platform Facebook that allows users to broadcast live videos to their followers in real-time.\n- entity: Nike (Just Do It)\n - description: Nike is a multinational corporation known for manufacturing and selling athletic footwear, apparel, equipment, and accessories. \"Just Do It\" is Nike's famous slogan, encouraging people to take action and pursue their goals.\n- entity: Nurse\n - description: A nurse is a healthcare professional who is trained to provide medical care and assistance to individuals, families, and communities. Nurses play a vital role in promoting and maintaining health, preventing illness, and caring for the sick and injured." ], "uid": "da28c648-fbcb-4e95-a478-debc59eca323" }, { "vars": { "tweet_full_text": "What ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778" }, "metavars": { "": "62", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhat ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A well-known multinational corporation that designs, develops, and manufactures athletic and lifestyle footwear, apparel, equipment, and accessories.\n- Just Do It: A famous slogan and marketing campaign associated with the athletic brand Nike, encouraging people to take action and pursue their goals.\n- Twitter: A popular social media platform that allows users to post and interact with short messages called tweets." ], "uid": "48fbee7b-cee9-491c-823c-b64d37395e42" }, { "vars": { "tweet_full_text": "It saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3" }, "metavars": { "": "63", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIt saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A well-known global sports apparel and footwear company.\n- Just Do It: Nike's famous slogan encouraging people to take action and overcome obstacles.\n- Twitter: A popular social media platform where users can post and interact with short messages called tweets." ], "uid": "d83c034b-7904-4f37-8e5f-64be86f493dd" }, { "vars": { "tweet_full_text": "@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018" }, "metavars": { "": "64", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Washington Post: A major American daily newspaper known for its coverage of national and international news.\n- Nike: A multinational corporation known for its sports apparel, shoes, and equipment.\n- DJT: An abbreviation commonly used to refer to Donald J. Trump, the 45th President of the United States." ], "uid": "c82e10bf-d8ec-490f-9c09-e8bf58c0e2bf" }, { "vars": { "tweet_full_text": "@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll" }, "metavars": { "": "65", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: Nike is a multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: Colin Kaepernick is a former NFL quarterback who gained attention for his protests against racial injustice and police brutality by kneeling during the national anthem before football games.\n- Twitter: Twitter is a social media platform that allows users to send and read short messages called \"tweets\"." ], "uid": "c37e7c6e-896a-4314-96b7-56ee1c1866ae" }, { "vars": { "tweet_full_text": "Friday Mood #JustDoIt https://t.co/D1b8qb3m5y" }, "metavars": { "": "66", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nFriday Mood #JustDoIt https://t.co/D1b8qb3m5y\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike - A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel, known for its famous slogan \"Just Do It\".\n- entity: Friday - The day of the week that comes after Thursday and before Saturday.\n- entity: Just Do It - A well-known slogan used by Nike to motivate people to take action and overcome obstacles in their lives." ], "uid": "4c5b088c-546b-4b5a-b62e-ae93a2a6ed50" }, { "vars": { "tweet_full_text": "@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5" }, "metavars": { "": "67", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- `President Trump`: The 45th and current President of the United States, Donald J. Trump. He is a businessman and television personality who became the President in January 2017.\n- `Trump2020`: A reelection campaign slogan for Donald Trump's presidential campaign in the year 2020. It refers to his candidacy for a second term as President of the United States.\n- `RedWave`: A political term used to describe a hypothetical wave election where the Republican Party gains a significant number of seats in Congress. It is often associated with President Trump's call for support during midterm elections." ], "uid": "2fbeb35b-bb0e-4f68-86d2-29e7d133b0a4" }, { "vars": { "tweet_full_text": "| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL" }, "metavars": { "": "68", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: Nike is a multinational corporation that specializes in designing, manufacturing, and selling athletic shoes, clothing, and equipment.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football player known for his peaceful protests against racial injustice by kneeling during the national anthem.\n- NBC: NBC (National Broadcasting Company) is an American television network that provides news, sports, entertainment, and various TV shows to its viewers." ], "uid": "759a2f85-237d-4269-bce8-7d40c66f29ea" }, { "vars": { "tweet_full_text": "And they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p" }, "metavars": { "": "69", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAnd they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: a multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, accessories, and services.\n- JustDoIt: a famous Nike slogan that encourages individuals to step out of their comfort zone and take action.\n- Media: a collective communication outlets or tools used to store and deliver information or data to a broad audience." ], "uid": "074ce2e0-5566-46c4-aea2-0ec0cf6fa86a" }, { "vars": { "tweet_full_text": "@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;" }, "metavars": { "": "70", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- JWKeady: American activist and author\n- Kaepernick7: American football quarterback and civil rights activist\n- KillerMike: American rapper, activist, and actor" ], "uid": "1e2b4f94-40f3-4438-bcd3-ecbcd8a2dbc8" }, { "vars": { "tweet_full_text": "Believe in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08" }, "metavars": { "": "71", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nBelieve in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- DJ ThrillBill: DJ ThrillBill is a renowned DJ based in Charlotte, North Carolina, known for being one of the coolest DJs in the world and having a significant following.\n- Nike: Nike is a well-known multinational corporation specializing in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- 704: 704 is the area code for Charlotte, North Carolina, in the United States. It is frequently used to represent the city or various businesses and organizations based in that area." ], "uid": "52c6e95e-7cb7-43d5-8a1d-f10ea806fb7f" }, { "vars": { "tweet_full_text": "Those three words made all the difference. #JustDoIt https://t.co/CCrqAeINql" }, "metavars": { "": "72", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThose three words made all the difference. #JustDoIt https://t.co/CCrqAeINql\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: A famous Nike slogan that encourages individuals to take action and overcome challenges.\n- Twitter: An American social media platform that allows users to post and interact with messages known as \"tweets\"." ], "uid": "fa4aebd2-545b-4ece-9377-55aac92e89b5" }, { "vars": { "tweet_full_text": "This is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh" }, "metavars": { "": "73", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike\n - description: A well-known multinational corporation that specializes in athletic footwear, apparel, equipment, and accessories.\n- entity: Wikipedia\n - description: A free online encyclopedia that contains information on a wide range of topics.\n- entity: \"Just Do It\"\n - description: A popular slogan used by Nike to encourage people to take action and pursue their goals." ], "uid": "45328fdc-5fd5-4b3f-801b-448ba662ed7e" }, { "vars": { "tweet_full_text": "You knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo" }, "metavars": { "": "74", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Michael Jackson: The \"King of Pop\", Michael Jackson was an American singer, songwriter, and dancer who is regarded as one of the greatest entertainers in the history of music." ], "uid": "76feef81-5d6d-4104-86ab-a961898e80d5" }, { "vars": { "tweet_full_text": "@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm" }, "metavars": { "": "75", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that specializes in the design and manufacture of sports shoes, clothing, and accessories.\n- core values: Fundamental beliefs or principles that guide the behavior and actions of a group or organization.\n- athletes: Individuals who participate in sports and demonstrate exceptional physical prowess, skill, and competitive abilities." ], "uid": "a27161f6-8f44-43f6-bcde-37e49f5d1393" }, { "vars": { "tweet_full_text": "You’ve gotta WORK to make things WORK.\n\n#JustDoIt" }, "metavars": { "": "76", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou’ve gotta WORK to make things WORK.\n\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that designs, manufactures, and markets athletic apparel, footwear, equipment, and accessories.\n- Just Do It: A famous slogan associated with the Nike brand, encouraging people to take action and pursue their goals by overcoming obstacles.\n- Wikipedia: A free online encyclopedia that allows users to create, edit, and collaborate on articles covering a wide range of topics." ], "uid": "33ac3050-082d-4352-baf6-bb159947f939" }, { "vars": { "tweet_full_text": "Looking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd" }, "metavars": { "": "77", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nLooking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A well-known multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: A well-known slogan used by Nike as part of its marketing campaigns, intended to inspire and motivate people to take action and overcome obstacles.\n- Twitter: A popular social media platform that allows users to post and interact with messages known as tweets." ], "uid": "b1353519-f894-493b-96f7-236cd5e72894" }, { "vars": { "tweet_full_text": "\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA" }, "metavars": { "": "78", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike\n - description: Nike is a well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, accessories, equipment, and services.\n- entity: Just Do It\n - description: \"Just Do It\" is a famous slogan created by Nike, often associated with their brand and marketing campaigns, promoting a proactive and determined attitude towards achieving one's goals.\n- entity: Nike, Inc.\n - description: Nike, Inc. is the parent company of the Nike brand, known for its iconic swoosh logo. Founded by Bill Bowerman and Phil Knight, it is one of the world's largest suppliers of athletic shoes and apparel, as well as a major manufacturer of sports equipment." ], "uid": "6d0987c4-905a-4f0c-8d18-55f0e8da237e" }, { "vars": { "tweet_full_text": "@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt" }, "metavars": { "": "79", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike\n description: Nike is a multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former National Football League (NFL) quarterback who gained widespread attention for his protests against racial injustice and police brutality by kneeling during the national anthem before NFL games.\n- entity: Just Do It\n description: \"Just Do It\" is a slogan created by Nike that has been used in various advertising campaigns to encourage people to take action and overcome challenges." ], "uid": "50d923e6-afa6-445b-bd05-33f33ae20007" }, { "vars": { "tweet_full_text": "We out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg" }, "metavars": { "": "80", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWe out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike \n description: Nike is a well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Tanger Outlets\n description: Tanger Outlets is a chain of outlet shopping centers that offers a wide range of brand-name and designer fashions at discounted prices.\n- entity: Grand Rapids\n description: Grand Rapids is a city in Michigan, USA, known for its vibrant arts scene, picturesque riverfront, and numerous museums." ], "uid": "50851c56-4e8e-4890-b946-f1ba2001eaed" }, { "vars": { "tweet_full_text": "Owned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt" }, "metavars": { "": "81", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nOwned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: a multinational corporation specializing in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a famous slogan used by Nike to encourage individuals to take action and pursue their goals." ], "uid": "14118527-6c6f-4a37-a44a-7605f1a43a49" }, { "vars": { "tweet_full_text": "Stand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z" }, "metavars": { "": "82", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nStand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- Just Do It: Nike's iconic slogan, often used as a motivational phrase encouraging individuals to take action and pursue their goals.\n- Colin Kaepernick: A former professional American football quarterback known for his activism and advocacy, particularly against racial injustice and police brutality." ], "uid": "22e96c09-2c4a-420b-912a-c3af99e164f4" }, { "vars": { "tweet_full_text": "Now this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg" }, "metavars": { "": "83", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNow this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- MAGA: An acronym for \"Make America Great Again,\" which is a political slogan commonly associated with Donald Trump's 2016 presidential campaign and his presidency.\n- QAnon: An online conspiracy theory community that believes in deep state conspiracies and secret plots against President Donald Trump.\n- POTUS: An acronym for \"President of the United States,\" which is a title given to the current President of the United States." ], "uid": "33ad10f7-ff1a-4598-80c5-599fefb8328d" }, { "vars": { "tweet_full_text": "@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt" }, "metavars": { "": "84", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- @TsMadisonatl1: Ts Madison is a well-known transgender media personality and social media influencer.\n- @PrimeVideo: Prime Video is an online streaming service owned by Amazon, offering a wide range of movies, TV shows, and original content.\n- @MsIsisKing: Isis King is an American model and fashion designer, known for being the first transgender woman to compete on the reality TV show \"America's Next Top Model\"." ], "uid": "2fa48697-e8ae-4ff3-acc8-5a518448de7d" }, { "vars": { "tweet_full_text": "#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh" }, "metavars": { "": "85", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Colin Kaepernick: American former professional football quarterback known for his activism and advocacy for social justice issues.\n- Nike: American multinational corporation specializing in the design, development, manufacturing, and marketing of footwear, apparel, and accessories.\n- Just Do It: Nike's slogan, encouraging individuals to push their limits and pursue their goals." ], "uid": "e48e76c5-be91-4b12-b18c-7d42ac5226f0" }, { "vars": { "tweet_full_text": "It’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt" }, "metavars": { "": "86", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIt’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: Nike is a multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Karpernick: It appears that \"Karpernick\" is a misspelling or a typo. However, there is a well-known figure named Colin Kaepernick. Colin Kaepernick is an American football quarterback who gained widespread attention for kneeling during the national anthem in protest against racial injustice and police brutality." ], "uid": "10723329-42db-45d1-97f9-d70e0c78509e" }, { "vars": { "tweet_full_text": "Slave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee" }, "metavars": { "": "87", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSlave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Slave Owners\n description: Individuals who owned and enforced slavery on black men and women for economic gain.\n- entity: Private Prisons\n description: Institutional facilities that detain individuals for profit, often criticized for their treatment of inmates.\n- entity: Nike\n description: A multinational corporation known for manufacturing and selling athletic shoes, apparel, and other sports equipment." ], "uid": "d3bffc8c-e88a-4f97-8163-57d8d906b856" }, { "vars": { "tweet_full_text": "This is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd" }, "metavars": { "": "88", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation specializing in the design, development, manufacturing, and sales of athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: A former professional American football player known for kneeling during the national anthem as a form of protest against racial injustice and police brutality.\n- Stevie Wonder: A legendary American singer, songwriter, and musician who is considered one of the most influential musicians of the 20th century, known for his soulful voice and ability to play multiple instruments." ], "uid": "6ebbd114-f127-4034-bacc-1b71c2d961e2" }, { "vars": { "tweet_full_text": "Nike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ" }, "metavars": { "": "89", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike: A multinational corporation that specializes in athletic footwear, apparel, equipment, and accessories.\n- entity: Advertising: A form of marketing communication used for promoting products, services, or ideas.\n- entity: Just Do It: The well-known slogan of Nike, used to encourage individuals to act decisively and boldly." ], "uid": "ae30e888-0613-4771-9918-320ad557a72d" }, { "vars": { "tweet_full_text": "Just Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W" }, "metavars": { "": "90", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike\n description: Nike is a multinational corporation that designs, manufactures, and sells athletic shoes, clothing, and accessories.\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former professional American football quarterback who became known for his protests against racial injustice by kneeling during the national anthem.\n- entity: Black Power\n description: Black Power is a political slogan and a name for various associated ideologies aimed at achieving self-determination for people of African descent." ], "uid": "08627962-296c-4cdd-bd4e-b3b785dfc1e3" }, { "vars": { "tweet_full_text": "No one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n" }, "metavars": { "": "91", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNo one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- @kobebryant: Kobe Bryant is a retired professional basketball player. He is considered one of the greatest basketball players of all time and played for the Los Angeles Lakers in the NBA.\n- Nike: Nike is a multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- Just Do It: \"Just Do It\" is a popular advertising slogan used by Nike since 1988. It has become widely recognized and associated with the brand's products and campaigns." ], "uid": "f9d1f683-e07c-4d0b-88b0-be46376838f6" }, { "vars": { "tweet_full_text": "@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds" }, "metavars": { "": "92", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- NIKE: A multinational corporation that designs, manufactures, and sells athletic shoes, apparel, equipment, and accessories.\n- Donald Trump: The 45th President of the United States, a businessman, television personality, and politician.\n- JUST DO IT: Nike's iconic slogan, encouraging people to take action and push themselves beyond their limits." ], "uid": "34bead26-cacf-4e87-af8e-83a228747dc9" }, { "vars": { "tweet_full_text": "Just to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL" }, "metavars": { "": "93", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and distribution of athletic footwear, apparel, equipment, and accessories.\n- Juntas Imparables: A campaign or event associated with Nike that promotes empowerment and determination.\n- Just Do It: Nike's famous slogan, encouraging individuals to take action and pursue their goals." ], "uid": "b024fa0a-7b92-4dd2-a1a1-1ce5f9eae7bc" }, { "vars": { "tweet_full_text": "@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit" }, "metavars": { "": "94", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Lindsey Graham: U.S. Senator Lindsey Graham, who represents South Carolina, is known for his strong conservative stance and his role in various political debates, particularly on foreign policy and national security issues.\n- Marco Rubio: Marco Rubio is a prominent American politician and U.S. Senator from Florida. He gained national attention during his bid for the Republican nomination in the 2016 presidential election and has been actively involved in legislative efforts on immigration and foreign policy.\n- Lisa Murkowski: Lisa Murkowski is a Republican U.S. Senator from Alaska. She is known for her independent stance on various issues and has been a key player in energy and natural resource policy, particularly in relation to her home state." ], "uid": "e80addf9-a970-447a-887e-4403d1552c61" }, { "vars": { "tweet_full_text": "its Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep" }, "metavars": { "": "95", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nits Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: An American multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: An American former professional football player who is known for his political activism, especially his peaceful protests against police brutality and racial inequality during the national anthem.\n- Eminem: An American rapper, songwriter, and record producer, widely regarded as one of the greatest and most influential hip hop artists of all time." ], "uid": "8f4118f4-0204-4d6b-be16-dba79fc1e9ff" }, { "vars": { "tweet_full_text": ".@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC" }, "metavars": { "": "96", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n.@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: TMZ\n - description: TMZ is a celebrity news and gossip website that provides up-to-the-minute entertainment news and coverage on celebrities, Hollywood events, and pop culture.\n- entity: Nike\n - description: Nike is a multinational corporation specializing in the design, development, manufacturing, and marketing of athletic shoes, apparel, equipment, accessories, and services.\n- entity: JustDoIt\n - description: Just Do It is a well-known slogan and advertising campaign used by Nike to encourage people to push their limits and achieve their goals in sports and everyday life." ], "uid": "5e7e9d93-39db-4616-9ce9-f83825ba671d" }, { "vars": { "tweet_full_text": "@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP" }, "metavars": { "": "97", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike: a multinational corporation that designs, develops, and manufactures footwear and apparel\n- entity: Nike Store: a physical or online retail store operated by Nike\n- entity: #JustDoIt: a famous marketing slogan used by Nike as an encouragement to take action and pursue one's goals" ], "uid": "19ac4ebb-d965-4eae-96f1-2624d14c64df" }, { "vars": { "tweet_full_text": "\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk" }, "metavars": { "": "98", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation known for its sports apparel, footwear, and accessories.\n- Just Do It: Nike's famous slogan, encouraging individuals to pursue their goals and dreams with determination and resilience.\n- Twitter: A social media platform that allows users to share short messages called tweets with their followers." ], "uid": "a5a94694-f1b2-47f4-b670-910274a38c47" }, { "vars": { "tweet_full_text": "All Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om" }, "metavars": { "": "99", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "llm": "Azure OpenAI", "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAll Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Kaepernick: Colin Kaepernick, a former professional American football quarterback and civil rights activist known for his protests against racial injustice by kneeling during the national anthem at NFL games.\n- The Ellen Show: A popular American daytime talk show hosted by Ellen DeGeneres, featuring celebrity interviews, comedy, and musical performances." ], "uid": "a7af0baa-7344-43af-92b4-7b2eea463911" } ] }, "table-1711152644755.json": {}, "multieval-1735333646079.json": [ { "vars": { "tweet_full_text": "Done is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6" }, "metavars": { "": "0", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "b4d8d403-ed4c-4b06-9638-d314d87202a3", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDone is better than perfect. β€” Sheryl Sandberg #quote #motivation #justdoit https://t.co/J9lLdszdW6\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Sheryl Sandberg: Sheryl Sandberg is an American technology executive, author, and billionaire philanthropist. She is the Chief Operating Officer (COO) of Facebook and the founder of LeanIn.Org." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Shout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo" }, "metavars": { "": "1", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "95b486f0-308d-4b77-899d-91d386dce73f", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nShout out to the Great Fire Department and the tour! πŸ‘¨β€πŸš’πŸ‘¨β€πŸš’ Much love to NYC! πŸ’―πŸŽ₯πŸ”₯✊🏿\nβ€’\nβ€’\nβ€’\n#hero #fdny #likesforlikes #promo #music #instagood #instadaily #postoftheday #bestoftheday #justdoit #nike #picoftheday... https://t.co/sFobQ2ukpo\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Great Fire Department: This refers to the New York City Fire Department (FDNY), which is responsible for protecting the citizens and property of New York City from fires and other emergencies.\n- NYC: This refers to New York City, a major metropolitan city located in the state of New York, USA. It is known for its rich cultural diversity and being a global hub for finance, media, art, and entertainment.\n- FDNY: This stands for the New York City Fire Department, mentioned previously, which is responsible for providing fire suppression and rescue services in the five boroughs of New York City." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "There are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M" }, "metavars": { "": "2", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "fb5ceda0-3704-4237-8ad5-1bc3f78e13d3", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThere are some AMAZINGLY hilarious Nike Ad memes happening on my newsfeed. Soooo, I decided to get a little creative too... \n\n#JustDoIt #4YourMorning #4YourMemeCollection \n\nπŸͺπŸ˜‚ https://t.co/6ok9qR6k6M\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A global sportswear and footwear brand known for their iconic \"Just Do It\" slogan and endorsement of famous athletes.\n- Wikipedia: A free online encyclopedia containing articles on a wide range of topics, maintained and edited by volunteers from around the world.\n- Nike Ad: Refers to the advertising campaign run by Nike to promote their products, often featuring renowned athletes and inspiring messages." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU" }, "metavars": { "": "3", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "0a2a8129-6e61-40d8-a336-fd17ba7b8a6e", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#kapernickeffect #swoosh #justdoit @ Lucas Bishop's Cigar Lounge https://t.co/BhPBnjOkuU\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation specializing in the design, manufacturing, and sales of sports apparel, footwear, equipment, and accessories.\n- Nike's \"Just Do It\": A motivational slogan created by Nike to encourage individuals to push their limits and overcome obstacles in sports and life.\n- Lucas Bishop: A fictional character in the Marvel Comics universe, known as a mutant with the ability to absorb energy and redirect it as concussive blasts." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "One Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7" }, "metavars": { "": "4", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "a831d0c9-5e95-4971-8523-d75253713e2a", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nOne Hand, One Dream: The Shaquem Griffin Story https://t.co/0EbEmwULLF #shaquem #NFL #Seattle #Seahawks #griffin #JustDoIt #Nike https://t.co/pr8eosDZS7\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Shaquem Griffin: Shaquem Griffin is an American football player who plays in the National Football League (NFL) for the Seattle Seahawks. He became widely known for his inspiring story of overcoming adversity and achieving success in professional football.\n- Seattle Seahawks: The Seattle Seahawks are a professional football team based in Seattle, Washington. They are a member of the NFL and have achieved success and popularity over the years.\n- Nike: Nike is a multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories. It is one of the world's largest and most recognizable sportswear brands." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT" }, "metavars": { "": "5", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "49f1fb1e-1eb0-4d9f-8964-c81312a8c604", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump It's time for me to stock up on some new running apparel. Nike it is! #JUSTDOIT\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: Nike, Inc. is an American multinational corporation that designs, manufactures, and markets footwear, apparel, equipment, and accessories.\n- Donald Trump: Donald John Trump Sr. is an American politician who served as the 45th president of the United States from 2017 to 2021.\n- JUST DO IT: \"Just Do It\" is a trademark and slogan of Nike, inspiring people to take action and overcome obstacles." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Why won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH" }, "metavars": { "": "6", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "1b4300c3-23f6-46f5-a681-2200d0290ac5", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy won't Trump protect our elections? Think it over. #RegisterToVote Vote - #JustDoIt https://t.co/x9I3qgZDEH\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Donald Trump: The 45th President of the United States.\n- entity: Elections: A process where citizens cast votes to choose individuals to hold public office.\n- entity: Nike: An American multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt" }, "metavars": { "": "7", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "68acd884-650b-43a2-b5b4-328d21949af4", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike good job on shaking the whole world, i see what you did there. Millions and Millions of dollars worth of free advertising. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation specializing in athletic footwear, apparel, and accessories.\n- Just Do It: A famous slogan used by Nike in its marketing campaigns to encourage people to pursue their goals and dreams." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "GREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ" }, "metavars": { "": "8", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "6dda5873-8748-48e3-8372-481502cf34fe", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nGREAT way to meet good people...wearing your Nike gear in the park! Thanks @Nike @nikestore @Kaepernick7 #JustDoIt #TakeAKnee #TakeAKneeInNikes https://t.co/TIFLnv2puQ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that designs, develops, and sells athletic wear, including footwear, apparel, and accessories.\n- Nike Store: A retail store owned by Nike Inc., where customers can purchase Nike products.\n- Colin Kaepernick: A former professional American football quarterback known for his activism against racial injustice and police brutality, specifically for kneeling during the national anthem." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Lead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq" }, "metavars": { "": "9", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "5411ee35-0f92-45b1-8fdb-b95bcd918193", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nLead,Trade and Succeed with ICM\nPlease retweet \n#FX #FeelGoodFriday #FridayFeeling #TRADERMONI #JustDoIt #FridayMotivation https://t.co/rtmVToSucq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- ICM: ICM stands for International Capital Market, a leading online trading platform for forex, CFDs, and commodities.\n- TRADERMONI: TraderMoni is a social intervention program in Nigeria that provides loans to small-scale traders." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "My favorites so far #JustDoIt https://t.co/zY7VDa5Q0X" }, "metavars": { "": "10", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "161d0772-5a41-4a08-b1a6-2c42e94923ff", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMy favorites so far #JustDoIt https://t.co/zY7VDa5Q0X\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that designs, develops, and manufactures athletic footwear, clothing, accessories, and equipment.\n- JustDoIt: The famous slogan and trademark of Nike, encouraging people to be active and fearless.\n- Twitter: A social media platform that allows users to post and interact with messages known as tweets." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Colin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN" }, "metavars": { "": "11", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "489f5517-11a5-4e69-832f-df53284d4a56", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nColin Kaepernick's business partner @Nike sends millions of dollars to groups which target black lives for gruesome deaths domestically and abroad. #NikeBoycott #JustDoIt\n\nhttps://t.co/abSV7fP7YN\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Colin Kaepernick: He is a former professional American football player known for his activism against racial injustice, particularly in the form of kneeling during the national anthem.\n- Nike: It is a multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, and accessories.\n- Black Lives Matter: It is a social movement advocating for the rights and equality of black people, specifically in response to violence and systemic racism." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)" }, "metavars": { "": "12", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "c6f64b03-6ea6-45b8-a3df-3e76d6b4f33a", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@CSPensions Why be a cat when you can be a lion. #JustDoIt ;)\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- CSPensions: a Canadian company that provides pension plans for civil servants and federal government employees\n- Nike: a multinational corporation known for its athletic shoes, apparel, and sports equipment\n- Lion: a large carnivorous mammal of the Felidae family, known for its majestic appearance and strong predatory abilities" ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt" }, "metavars": { "": "13", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "3fd687a9-e76e-4a26-86b7-6f6009388a3c", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump They were thinking history will judge the treatment of @ColinKaperneck7 and will come out on his side, they decided to lead! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Colin Kaepernick: A former professional American football player known for his protests against racial injustice by kneeling during the national anthem.\n- Nike: A multinational corporation specializing in the design, development, manufacturing, and marketing of athletic apparel, footwear, accessories, and equipment.\n- Donald Trump: The 45th President of the United States, a businessman, and television personality." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr" }, "metavars": { "": "14", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "596b6b42-72c4-47c6-b167-cd03f20e9798", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@RepAdamSchiff Go ahead @RepAdamSchiff #JustDoIt #SpartacAssJr\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- `RepAdamSchiff`: Adam Schiff is a United States politician who serves as the U.S. Representative for California's 28th congressional district. He is a member of the Democratic Party.\n- `JustDoIt`: \"Just Do It\" is a well-known slogan and trademark of the American sportswear company Nike. It is often associated with motivation and determination.\n- `SpartacAssJr`: No well-known entity was found for this term." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Why be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR" }, "metavars": { "": "15", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "69c5e982-9943-4dbd-a8b4-fc6133a49814", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy be a cat when you can be a lion. #JustDoIt https://t.co/vPOkgfchFR\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Lion\n description: The lion is a large carnivorous mammal of the cat family, native to Africa and characterized by its strong, regal appearance.\n- entity: Just Do It\n description: \"Just Do It\" is a motivational slogan used by the sportswear company Nike, encouraging people to take action and pursue their goals.\n- entity: Nike\n description: Nike is a multinational corporation known for designing, manufacturing, and selling athletic shoes, clothing, and accessories." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J" }, "metavars": { "": "16", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "91a7e003-5435-42a5-b992-f00d3031fff5", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#socialism be like me and #JustDoIt because ya know it like works and stuff I mean come on it’s like the greatest thing ever I mean like duh ....πŸ€”πŸ™„πŸ˜³...#Truth #kaga2018 #kag2020 #Maga #FakeNews https://t.co/FsJZyVC98J\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Just Do It: A slogan used by the international sportswear brand Nike to encourage people to take action and achieve their goals.\n- Maga: An acronym for \"Make America Great Again,\" which is a political slogan associated with Donald Trump's 2016 presidential campaign and his presidency.\n- Fake News: A term used to describe false or misleading information presented as news, often used to discredit media outlets or stories." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Hey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt" }, "metavars": { "": "17", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "e386d1be-1178-4285-b6d3-a465dede6b33", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nHey @Nike I stood for our country. I served my nation and that flag you're so enthused to kneel for. I stood for something, gave up everything. You want to impress me? Hire a real man for your ads. Hire a marine not a bitchy millionaire. He gave up nothing. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike\n - description: Nike is a well-known multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Marine\n - description: A marine refers to a member of the United States Marine Corps, which is a branch of the United States Armed Forces. Marines are trained as infantry and are known for their dedication and service to their country.\n- entity: United States Armed Forces\n - description: The United States Armed Forces is the military force of the United States. It consists of the Army, Navy, Air Force, Marine Corps, and Coast Guard and is responsible for the defense of the United States." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "I’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l" }, "metavars": { "": "18", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "c3834b93-a6fe-4f90-be24-c97c237c3c81", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nI’ve seen a lot of memes re #JustDoIt but this particular one struck me.......haunting. \n\nFor me, this speaks to how far the Left will go to undermine @realDonaldTrump & the will of true American Patriots. \n\nLet’s do our job to help @POTUS \n\n#VoteRedToSaveAmerica #VoteRed2018 https://t.co/rm7XBt3W9l\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Just Do It\n description: Nike's slogan for their campaign encouraging people to take action and pursue their goals.\n- entity: Left\n description: Referring to the political ideology that supports social equality and progressive policies.\n- entity: Donald Trump\n description: The 45th President of the United States, known for his controversial policies and outspoken personality." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Abortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit" }, "metavars": { "": "19", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "953f6abc-3371-42ea-8402-6c0d0698e705", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAbortion stops a beating heart. Just imagine all the lives we can save if we get #Kavanaugh on the court. Democrats should be eager to confirm him for the sake of our children. #justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Abortion\n description: A medical procedure that terminates a pregnancy, resulting in the ending of the development and growth of a fetus.\n- entity: Kavanaugh\n description: Referring to Brett Kavanaugh, an American lawyer and jurist who served as an Associate Justice of the Supreme Court of the United States.\n- entity: Democrats\n description: Referring to the Democratic Party, one of the two major political parties in the United States, characterized by its liberal and progressive policies." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@Nike My favorite Nike commercial ever!! #JustDoIt" }, "metavars": { "": "20", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "71fd4fba-2a70-444a-9780-ccc1a1b0ccf4", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike My favorite Nike commercial ever!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: Nike is a multinational corporation known for designing, manufacturing, and selling athletic shoes, apparel, and sports equipment.\n- Just Do It: \"Just Do It\" is a widely recognized slogan and trademark of Nike, often associated with their advertising campaigns, encouraging individuals to push their limits and overcome any obstacles." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Modeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB" }, "metavars": { "": "21", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "2140d1aa-9283-455e-b4d6-ef2b509f17ef", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nModeling is more than just runway and clothes for me. It’s a daily way of life to be an example when I step out the door and into any room. Happy Friday! #nike #kaepernick7 #justdoit @Kaepernick7 @Nike @nikesportswear @nikewomen #FridayFeeling #FridayMotivation https://t.co/YwvMNYONMB\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- Kaepernick7: Colin Kaepernick, a former professional American football player and a prominent civil rights activist known for his protests against racial injustice and police brutality.\n- Nike Women: A line of clothing and footwear specifically designed for women by the brand Nike." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "You are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg" }, "metavars": { "": "22", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "4c4e93a3-babb-4c6d-8454-3f0f47ce8a63", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou are never too broke to shop your favourite fashion brands when they are at #Discounts365days #JustDoIt https://t.co/hwlxCLesVg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Discount365days: an online platform that offers discounts on various fashion brands throughout the year.\n- JustDoIt: a slogan and registered trademark of the sportswear brand Nike, encouraging individuals to take action and pursue their goals.\n- Nike: a multinational corporation specializing in the design, development, and manufacturing of footwear, apparel, equipment, and accessories for various sports and activities." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "My kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm" }, "metavars": { "": "23", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "5a0ca3e9-9012-4074-800d-505140da7780", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMy kinda Lady ... #Justdoit #Nike !!! https://t.co/GIFmg85rAm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that designs, manufactures, and sells sports footwear, clothing, and equipment.\n- Lady: A term used to refer to a woman of high social position or noble birth.\n- Just Do It: A motivational slogan used by the sports brand Nike, encouraging individuals to take action and overcome obstacles." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Dream Big & #Justdoit! https://t.co/Vr4GIyGsoj" }, "metavars": { "": "24", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "6ab5411a-84e4-4dfd-b086-557033d2fcbe", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDream Big & #Justdoit! https://t.co/Vr4GIyGsoj\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: a multinational corporation known for designing, manufacturing, and selling athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a famous advertising slogan used by Nike to encourage people to take action and pursue their goals.\n- Twitter: a popular social media platform where users can post, interact with messages known as \"tweets,\" and follow other users." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Hey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ" }, "metavars": { "": "25", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "76b181aa-cd07-4d82-a749-6db2060457ef", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nHey!!!! go check this video out !!! It’s a lot of fun and cute #newyoutubers \n#relationshipgoals \n#JustDoIt. Just click the link and subscribe 🧑\nhttps://t.co/W7JhYpHtXL https://t.co/ltUmnsCxxZ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- New YouTubers: Individuals or groups who have recently started creating content on the YouTube platform.\n- Relationship Goals: A popular hashtag used on social media platforms to refer to aspirational romantic relationships.\n- Just Do It: A famous slogan coined by the sports brand Nike, encouraging people to take action and pursue their goals." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Nike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line." }, "metavars": { "": "26", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "cf82f271-84c8-49ab-a47e-cccb3726cc24", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNike got $43 million of free press in the 24 hours after #JustDoIt campaign. It pays to put your balls on the line.\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that specializes in the design, development, and marketing of athletic apparel, footwear, equipment, and accessories.\n- Just Do It: A slogan created by Nike, encouraging individuals to push their boundaries, take risks, and fulfill their potential." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap" }, "metavars": { "": "27", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "94cd171b-a1d4-434c-9b1e-a0fabccea48b", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump They were thinking - β€œlet’s use this talented football star, who’s been blackballed by asshole NFL owners, to take a stand and optimize our ad’s reach with minimal dollars”. A genius move by Nike! Free publicity is a marketers dream! #NikeStrong #JustDoIt #TeamNike #ImWithKap\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Donald Trump\n - description: The 45th President of the United States who is often referred to by his Twitter handle \"@realDonaldTrump\".\n- entity: NFL\n - description: The National Football League, the professional American football league in the United States.\n- entity: Nike\n - description: A global sportswear and equipment manufacturing company." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "YOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq" }, "metavars": { "": "28", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "899128ff-46c8-40c2-b6d0-8b625f665998", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYOU STOLE MY GODDAMN HOUSE #justdoit #juststealit @Bravotv @BravoWWHL @ParisHilton https://t.co/8xShKr0SYq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Bravotv: A television network that focuses on reality TV shows, including popular franchises like The Real Housewives.\n- BravoWWHL: Stands for Bravo's Watch What Happens Live, a late-night talk show hosted by Andy Cohen that features celebrity interviews, games, and discussions about Bravo's reality TV shows.\n- Paris Hilton: A well-known American socialite, businesswoman, and media personality, known for her appearance on the reality TV show The Simple Life and her work as a singer, actress, and entrepreneur." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Don't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu" }, "metavars": { "": "29", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "dbca1e9a-c96c-4645-ba73-a876227b8493", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDon't skip leg day y'all #legday #justdoit #flexfriday #berkhansays https://t.co/6o3ktraCCu\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Berkhan: A popular fitness blogger and intermittent fasting advocate known for his expertise in body recomposition and muscle building.\n- Friday: The day of the week that is considered the end of the workweek in many cultures and is often associated with relaxation and fun activities." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6" }, "metavars": { "": "30", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "b95d06c7-a539-463a-8d49-7751d5a149b7", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"Believe in something. Even if it means sacrificing everything.\"\n\nNike has chosen bold words for their #JustDoIt campaign. But what exactly does sacrifice mean to a multi-billion dollar corporation?\n\nBranded revolution: βœ”οΈ\n\nhttps://t.co/QIZex684w6\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: a multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, accessories, and services.\n- JustDoIt: Nike's slogan, known for encouraging individuals to have the determination and willpower to overcome obstacles and achieve their goals.\n- #JustDoIt: a hashtag associated with Nike's campaign and brand message, encouraging people to take action and pursue their ambitions." ], "tokens": {}, "eval_res": { "items": [ false ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Why yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM" }, "metavars": { "": "31", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "5090bbe4-cd84-4407-89be-1da581879f2c", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhy yall do Tayson like dat #JustDoIt #nike #photooftheday #internewins #Mike_Tyson #Tyson https://t.co/dWopqtjitM\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike\n - description: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- entity: Mike Tyson\n - description: Mike Tyson is a former professional boxer who is considered one of the greatest heavyweights in the history of the sport.\n- entity: Tyson\n - description: Tyson is a surname of English origin, but in this context, it likely refers to Mike Tyson." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP" }, "metavars": { "": "32", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "45deddcf-c653-4ad9-8ab2-57ca73e076eb", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#MissAmerica #FlashbackFriday #JobsReport Nike #GOT7 #JustDoIt FEMA #campaigns #TV3GH\nSpiderMan #KaepernickNikeAd #slaveryremembranceday #MudaSuksesMenang \n#FridayFeeling #NationalBeerLoversDay I Love It\n#eminemvsmgk #Nas vs #Kelis Kanye #INDRAKETUJUHEPS38\nhttps://t.co/sVDCOXDBJP\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Miss America\n description: Miss America is a beauty pageant that has been held annually since 1921.\n- entity: Nike\n description: Nike is an American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services.\n- entity: FEMA\n description: FEMA (Federal Emergency Management Agency) is an agency of the United States Department of Homeland Security, created to coordinate the response to disasters that occur within the United States and that overwhelm the resources of local and state authorities." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt" }, "metavars": { "": "33", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "23f1b01d-8ff2-4ec2-91f9-a3e81ccbed79", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike is the only shoe I'll train in. I'm wearing the Nike Bruins from Back to the Future for my wedding. Hell yeah Nike. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Back to the Future: a science fiction movie franchise directed by Robert Zemeckis, known for its depiction of time travel.\n- Nike Bruins: a type of sneaker released by Nike, based on the shoes worn by the character Marty McFly in the movie Back to the Future." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "The @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy" }, "metavars": { "": "34", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "2483cf6b-f5de-4260-adac-f9b5f6e42fb5", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThe @elonmusk Mindset\n\n#JustDoIt https://t.co/2wq93hJjxy\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Elon Musk: Entrepreneur and business magnate, known for his role in creating companies like Tesla, SpaceX, and Neuralink.\n" ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm" }, "metavars": { "": "35", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "73f5ff39-46ce-499c-b87f-c5f0c28608c1", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@tgirlmiller @realDonaldTrump Donating my #Nike all in great coditions, many barely worn to homeless veterans and buying new ones for my self.\n#JustDoIt https://t.co/EVH7Frnlwm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- @tgirlmiller: A Twitter user.\n- @realDonaldTrump: Donald Trump, the 45th President of the United States.\n- Nike: A well-known multinational corporation that designs and manufactures footwear, apparel, equipment, and accessories." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt" }, "metavars": { "": "36", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "8c1c8384-eb88-46a2-8503-6d4440f692ee", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@nerdygirl007 @1DentalHyGenius @IntelisexXx @NuttyTrump @CokerRory @benFranklin2018 Yes!!! Do it!! #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A well-known multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Benjamin Franklin: One of the Founding Fathers of the United States who was a polymath, scientist, inventor, writer, and diplomat.\n- Intel: A multinational technology company that is one of the world's largest semiconductor chip manufacturers." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI" }, "metavars": { "": "37", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "f946981e-0a9b-4e81-a09e-44186d68d20b", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump It’s clear why you & Kim β€œrespect” each other so much...#DonaldLovesDictators #TakeAKnee #ColinKaepernick #Nike #JustDoIt #FightFascism https://t.co/ZYjB3DcSxI\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- @realDonaldTrump: Donald Trump is the 45th President of the United States, known for his controversial political style and policies.\n- Kim: This may refer to Kim Jong-un, the Supreme Leader of North Korea, known for his authoritarian rule and tensions with other countries.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football player known for his protest against racial injustice by kneeling during the national anthem." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Just do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG" }, "metavars": { "": "38", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "f895f16a-635c-41fe-85cc-d1fefd034ae0", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust do it. #nike #meme #justdoit #justtryit #cafecitoenergy #energy https://t.co/b67YtvoraG\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, and accessories.\n- Just Do It: A popular tagline and advertising campaign for Nike, encouraging people to push themselves and take action.\n- Cafecito Energy: A brand that offers coffee-based energy drinks to help boost energy levels." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb" }, "metavars": { "": "39", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "d5469f81-e740-435f-a1e4-92c6547ff907", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#JustDoIt … another potential spokesperson for #Nike\nFormer Cowboys RB Joseph Randle arrested, charged with rape https://t.co/XmW482KIUb\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike \n description: A well-known sportswear brand.\n- entity: Joseph Randle \n description: A former professional American football player who played as a running back for the Dallas Cowboys.\n- entity: Dallas Cowboys \n description: A professional American football team based in Dallas, Texas." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Just left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann" }, "metavars": { "": "40", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "09529e9e-7bf2-4bc0-9cc6-1e2352e86edf", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust left the @Nike store #greatlakescrossing I don't even like Nike like that... BUT it's for the culture. Yall take care of Rena and Kap..I'll support you.\n\n#Fortheculture\n#Nike\n#Justdoit\n#bringit https://t.co/Ns6snxuann\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation known for designing, manufacturing, and selling athletic footwear, apparel, equipment, and accessories.\n- Rena: It's not clear who Rena is without further context.\n- Kap: It's not clear who Kap is without further context." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq" }, "metavars": { "": "41", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "7a1f4bc3-ae44-4e9c-a705-f171faae18b0", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#BOOM #MannCup2018 READY!! 7 hours @satolax22 #justDOIT!! #WestCoastBestCoast @CurtisDickson17 #FLYYYY! https://t.co/FRul00IsBq\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Mann Cup 2018: A national lacrosse championship held annually in Canada.\n- Curtis Dickson: A professional lacrosse player who plays for the Calgary Roughnecks in the National Lacrosse League.\n- Nike: A multinational corporation that designs, manufactures, and sells athletic shoes, clothing, and accessories." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt" }, "metavars": { "": "42", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "2e1eeb38-f4ad-4efb-97ef-f7954f717eae", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#Lebron16: Look at those eyes...\n\n#LeBron #Nike #JustDoIt https://t.co/WNvn4qzhQt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- LeBron: LeBron James is a professional basketball player widely regarded as one of the greatest players of all time. He has played for multiple teams in the NBA and has won several championships and individual awards.\n- Nike: Nike is a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories. It is one of the world's largest suppliers of athletic shoes and apparel and is known for its iconic \"Swoosh\" logo.\n- Just Do It: \"Just Do It\" is a well-known slogan associated with Nike. It is a motivational phrase that encourages people to overcome obstacles and pursue their goals." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "So with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl" }, "metavars": { "": "43", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "fba6a005-9515-47ba-a522-2cd5f008c002", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSo with the Sun and new moon in Virgo this Sunday- I’m commencing an exercise regimen to compliment my dietary regimen. #goals #JustDoIt https://t.co/uJrYrrSdTl\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Sun: The Sun is the star at the center of the Solar System and is crucial for sustaining life on Earth.\n- Virgo: Virgo is one of the 12 astrological signs of the zodiac, typically associated with those born between August 23 and September 22.\n- Just Do It: \"Just Do It\" is a famous slogan used by the athletic company Nike to encourage people to take action and pursue their goals." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Mr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt" }, "metavars": { "": "44", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "fbc96176-5151-4500-b0eb-499b220d089d", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nMr #IQ45 alone with #MitchMcConnell @SenateMajLdr #GOP meeting to see how they can destroy #presObama @Niki #Kaepernick #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Mr: It is difficult to determine the exact person referred to by \"Mr\" without additional information. \n- Mitch McConnell: Mitch McConnell is an American politician who serves as the United States Senate Majority Leader. \n- GOP: GOP stands for the Grand Old Party, which is a nickname for the Republican Party, one of the two major political parties in the United States." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker" }, "metavars": { "": "45", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "ef6b4b19-c6f3-461e-bcbf-4612baa45990", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike world is yours - the world is flat, Kyrie ,LeBron and I have your back. Do I have your back? I’ve known you since grade school. I can’t believe this even rhymes I’m a fool . @KingJames #LeBron #lebronjames #nike #kyrie #kapernick #justdoit #sneaker\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Kyrie: Referring to Kyrie Irving, a professional basketball player who plays for the Brooklyn Nets in the National Basketball Association (NBA).\n- LeBron: Referring to LeBron James, a professional basketball player who currently plays for the Los Angeles Lakers in the NBA. He is considered one of the greatest basketball players of all time." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee" }, "metavars": { "": "46", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "39a7dc02-0a95-4ca5-9361-4d534c3afb03", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump I got new @Nike running shoes this week. #JustDoIt #JustDoIt #StandForSomething #TakeTheKnee\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- @realDonaldTrump: Donald Trump is the 45th President of the United States and a prominent businessman.\n- @Nike: Nike is a widely recognized athletic shoe and sportswear company.\n- #TakeTheKnee: Take a Knee movement was initiated by Colin Kaepernick, an American football quarterback, to protest against racial injustice and police brutality in the United States." ], "tokens": {}, "eval_res": { "items": [ false ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Pure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA" }, "metavars": { "": "47", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "1b0ef127-c4b7-40a4-98fb-498a794b2a2b", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nPure Gold!\nFrom Larry Elder\n(Overheard, II)\n\nI returned a pair of Nike shoes yesterday for a refund, and the clerk asked me what was wrong with them. I told her they hurt my feet when I stood up for the national anthem.\n\n#JustDoIt #ISTANDFORAMERICA\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Larry Elder: An American radio show host, author, and political commentator known for his conservative views.\n- Nike: A multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, and accessories.\n- National Anthem: A patriotic song or hymn identified with a country, traditionally played or sung at public ceremonies or events to express allegiance or loyalty to that country." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "If you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9" }, "metavars": { "": "48", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "93a931cd-5bdf-4829-b86a-e8bd4e2720ab", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIf you work hard, limitless and focus on your goals and respecting each other... the only thing you will have, is the success.\n#JustDoIt https://t.co/ARRxcgQim9\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, accessories, and services.\n- Just Do It: Nike's slogan, often used to inspire people to take action and pursue their goals.\n- Twitter: A social media platform that allows users to post and interact with short messages, called tweets." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "New season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn" }, "metavars": { "": "49", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "80b5c9a0-2cd5-4c0c-bbfe-57d096d89427", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNew season of #ESG Notes kicks off today. Today, ESG Note S2E1: Nike Blows Our Minds, Inequality Is Hot, Exit Theranos, Ocean Bonds, @GuyCallendar. #investment #strategy #sustainability #impinv #susty #SDGs #JustDoIt #Theranos #TheLongSwim #FridayReads https://t.co/TcVVrBsLrn\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- ESG Notes: a web series that focuses on Environmental, Social, and Governance (ESG) topics in the investment world.\n- Nike: a multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Theranos: a now-defunct health technology company that claimed to have revolutionized blood testing but faced multiple controversies and legal issues." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Invest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro" }, "metavars": { "": "50", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "6c359e63-3b18-46e3-bf57-8fe74a5d7b77", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nInvest in #Mojo50?\n\n#JustDoIt \n\n@DocThompsonShow \n@realBradStaggs \n@foodbizpro\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- `Mojo50`: Mojo50 is a conservative radio network based in the United States that features various talk shows and hosts.\n- `DocThompsonShow`: The Doc Thompson Show was a talk radio show hosted by Doc Thompson, who was a conservative political commentator and media personality.\n- `Brad Staggs`: Brad Staggs is a radio host and producer known for co-hosting the Doc Thompson Show and his work in conservative talk radio." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "If you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts" }, "metavars": { "": "51", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "84204ba8-5928-472d-a5c6-cb821d8fdcfb", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIf you don’t express to me that you wish to be buried after your death, best believe you’re getting cremated and launch out of a shoulder fired rocket launcher. #LoveIsLove #Justdoit #ShowerThoughts\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: cremation\n - description: The act of disposing a dead body by burning it to ashes.\n- entity: rocket launcher\n - description: A portable weapon system designed to launch rockets or missiles.\n- entity: Nike\n - description: An American multinational corporation that is engaged in the design, development, manufacturing, and worldwide marketing and sales of footwear, apparel, equipment, accessories, and services." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2" }, "metavars": { "": "52", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "b7f52923-8cc2-4eee-b5ed-a3f1afbf8067", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike you gotta get these made! #JustDoIt https://t.co/LiDtQx0Xt2\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: a well-known multinational corporation that designs, develops, and sells athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a well-known slogan coined by Nike encouraging individuals to take action and pursue their goals." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Don’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit" }, "metavars": { "": "53", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "760070eb-831a-4487-95f7-4e8db17717f5", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nDon’t ask if your dreams are crazy. Ask if they’re crazy enough.!!#justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and sales of sports apparel, footwear, equipment, and accessories.\n- Donovan Bailey: A retired Canadian sprinter who held the world record for the 100 meters from 1996 to 1999 and won two Olympic gold medals in the 4x100 meters relay.\n- Nike slogan \"Just Do It\": A famous advertising slogan introduced by Nike in 1988, encouraging individuals to overcome obstacles and pursue their dreams without hesitation." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Create Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A" }, "metavars": { "": "54", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "22ebf5ed-720d-41ec-b046-e2cb99b346d8", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nCreate Your Own Nike Just Do It Colin Kaepernick Meme With This Free Template: https://t.co/h9SZP6dUKB\n\n#Nike #ColinKaepernick #JustDoIt https://t.co/rIqRybre1A\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: Nike is a well-known multinational corporation that designs, manufactures, and markets athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: Colin Kaepernick is a former professional football quarterback who is known for his activism and advocacy for social justice issues.\n- Just Do It: \"Just Do It\" is a famous marketing tagline by Nike that has become synonymous with their brand and is often associated with empowerment and motivation." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "#Justdoit Vote our & oust McGovern!" }, "metavars": { "": "55", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "676ae1cf-3051-4792-acce-7bf06d44e703", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#Justdoit Vote our & oust McGovern!\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- `McGovern`: George Stanley McGovern (1922-2012) was an American politician and historian who served as a United States Senator from South Dakota from 1963 until 1981. He was the Democratic Party nominee in the 1972 presidential election, but lost to Richard Nixon." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "This is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM" }, "metavars": { "": "56", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "ddb8c8ba-26d3-449e-b396-ca5f9cd54102", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is why Colin kneels. We all should kneel. You can't even ride in a car with your grandmother looking as timid as Urkel without getting profiled by police as a criminal. You can hear the despair in his voice. #ImwithKap. #Justdoit https://t.co/pFxaXOE9UM\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Colin: Colin Kaepernick, an American football quarterback who gained attention for protesting against racial injustice and police brutality by kneeling during the national anthem.\n- Urkel: Steve Urkel, a fictional character from the TV show \"Family Matters,\" known for his trademark suspenders, glasses, and clumsy demeanor.\n- Nike: Nike, Inc., an American multinational corporation specializing in the design, manufacturing, and sales of footwear, apparel, equipment, and accessories." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Sounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu" }, "metavars": { "": "57", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "af417037-3bc7-4bd8-a4bc-192853b32be3", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSounds like a plan! #JustDoIt #FirstAmendment https://t.co/ULAA6K0Tgu\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike: A multinational corporation that is engaged in the design, development, manufacturing, and marketing of footwear, apparel, equipment, and accessories.\n- entity: Just Do It: A trademarked slogan used by Nike to promote its products, often associated with motivation and perseverance.\n- entity: First Amendment: The first amendment to the United States Constitution, which guarantees the right to freedom of speech, religion, the press, assembly, and petition." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog" }, "metavars": { "": "58", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "8ba4934b-bc50-407f-b415-00869ced0d24", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#JustDoIt: Nike took a knee for Kaepernick, outrage ensues. Were you surprised? https://t.co/e7ab3oVkHX https://t.co/yhFHvgNSog\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation specializing in sports apparel, footwear, and accessories.\n- Kaepernick: Colin Kaepernick is a former professional American football player, known for his activism and protests against racial injustice during the national anthem. \n- Outrage: A strong feeling of anger or shock in response to an event or situation." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur" }, "metavars": { "": "59", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "11ea82e0-6be6-4549-a259-ad98914b3343", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump Just Do It!!\n#trumpTrash\n #JustDoIt \n#Nike\n#NFL\n#NikeKap https://t.co/GQ7YwcVhur\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Donald Trump: The 45th President of the United States, known for his controversial policies and outspoken nature.\n- Nike: A multinational corporation specializing in athletic footwear, apparel, equipment, and accessories.\n- NFL: The National Football League, a professional American football league consisting of 32 teams." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "just doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI" }, "metavars": { "": "60", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "fa29021d-d447-4e9a-bc2b-d0c5aec8f233", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\njust doin it on a friyay @nike #believeinsomething #colinkaepernick #justdoit #friyay @ Nike NYHQ https://t.co/v0bmxyq8RI\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike\n description: Nike is a multinational corporation specializing in the design, manufacture, and marketing of athletic apparel, footwear, equipment, and accessories.\n\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former professional football quarterback known for his activism against racial injustice and police brutality. He gained significant attention for kneeling during the national anthem as a peaceful protest.\n\n- entity: Nike NYHQ\n description: Nike NYHQ refers to Nike's New York Headquarters, which serves as the company's office and strategic hub in New York City." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Check Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav" }, "metavars": { "": "61", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "da28c648-fbcb-4e95-a478-debc59eca323", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nCheck Me Out! September 10th on Facebook Live 8 am sharp.\n\n\"#justdoit\"\n\nSee https://t.co/cKpdrrRzTJ for my freebie\n\n\"Four Easy Techniques to Keep You Calm as a Nurse\"\n\nThanks! https://t.co/iNlExWzYav\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Facebook Live\n - description: Facebook Live is a feature of the social media platform Facebook that allows users to broadcast live videos to their followers in real-time.\n- entity: Nike (Just Do It)\n - description: Nike is a multinational corporation known for manufacturing and selling athletic footwear, apparel, equipment, and accessories. \"Just Do It\" is Nike's famous slogan, encouraging people to take action and pursue their goals.\n- entity: Nurse\n - description: A nurse is a healthcare professional who is trained to provide medical care and assistance to individuals, families, and communities. Nurses play a vital role in promoting and maintaining health, preventing illness, and caring for the sick and injured." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "What ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778" }, "metavars": { "": "62", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "48fbee7b-cee9-491c-823c-b64d37395e42", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWhat ever you feel like doing it #JustDoItβœ” https://t.co/SOoFxtB778\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A well-known multinational corporation that designs, develops, and manufactures athletic and lifestyle footwear, apparel, equipment, and accessories.\n- Just Do It: A famous slogan and marketing campaign associated with the athletic brand Nike, encouraging people to take action and pursue their goals.\n- Twitter: A popular social media platform that allows users to post and interact with short messages called tweets." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "It saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3" }, "metavars": { "": "63", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "d83c034b-7904-4f37-8e5f-64be86f493dd", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIt saved me it can save you too #JUSTDOIT πŸŒšπŸΎβ€ΌοΈ https://t.co/NYIuOqktj3\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A well-known global sports apparel and footwear company.\n- Just Do It: Nike's famous slogan encouraging people to take action and overcome obstacles.\n- Twitter: A popular social media platform where users can post and interact with short messages called tweets." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018" }, "metavars": { "": "64", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "c82e10bf-d8ec-490f-9c09-e8bf58c0e2bf", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@washingtonpost Thank you #Kap #JustDoIt #Nike We are UNITED and will NOT allow DJT to divide US! #BlueWave2018\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Washington Post: A major American daily newspaper known for its coverage of national and international news.\n- Nike: A multinational corporation known for its sports apparel, shoes, and equipment.\n- DJT: An abbreviation commonly used to refer to Donald J. Trump, the 45th President of the United States." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll" }, "metavars": { "": "65", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "c37e7c6e-896a-4314-96b7-56ee1c1866ae", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Kaepernick7 @Nike and @Kaepernick7 are on the right side of history #LOVE_YOURSELF #BelieveInYourself #JustDoIt #EqualityforAll #CompassionforAll\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: Nike is a multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: Colin Kaepernick is a former NFL quarterback who gained attention for his protests against racial injustice and police brutality by kneeling during the national anthem before football games.\n- Twitter: Twitter is a social media platform that allows users to send and read short messages called \"tweets\"." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Friday Mood #JustDoIt https://t.co/D1b8qb3m5y" }, "metavars": { "": "66", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "4c5b088c-546b-4b5a-b62e-ae93a2a6ed50", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nFriday Mood #JustDoIt https://t.co/D1b8qb3m5y\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike - A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel, known for its famous slogan \"Just Do It\".\n- entity: Friday - The day of the week that comes after Thursday and before Saturday.\n- entity: Just Do It - A well-known slogan used by Nike to motivate people to take action and overcome obstacles in their lives." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5" }, "metavars": { "": "67", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "2fbeb35b-bb0e-4f68-86d2-29e7d133b0a4", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump God bless President Trump! πŸ‘πŸ‘πŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡ΈπŸ‡ΊπŸ‡Έ\n#justdoIt #JustDontDoIt #Trump2020 #RedWave https://t.co/RtqWsqflI5\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- `President Trump`: The 45th and current President of the United States, Donald J. Trump. He is a businessman and television personality who became the President in January 2017.\n- `Trump2020`: A reelection campaign slogan for Donald Trump's presidential campaign in the year 2020. It refers to his candidacy for a second term as President of the United States.\n- `RedWave`: A political term used to describe a hypothetical wave election where the Republican Party gains a significant number of seats in Congress. It is often associated with President Trump's call for support during midterm elections." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL" }, "metavars": { "": "68", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "759a2f85-237d-4269-bce8-7d40c66f29ea", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n| Just Do It!βœ”οΈ - @nike |\n#JustDoIt #Nike #Meme #Jesus #Viral #Marketing #NBC #CNN #ColinKaepernick #Kaepernick #NikeJustDoIT #Football #Believe #Listen #NikeShoes #BelieveInSomething… https://t.co/A8PqKSakxL\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: Nike is a multinational corporation that specializes in designing, manufacturing, and selling athletic shoes, clothing, and equipment.\n- Colin Kaepernick: Colin Kaepernick is a former professional American football player known for his peaceful protests against racial injustice by kneeling during the national anthem.\n- NBC: NBC (National Broadcasting Company) is an American television network that provides news, sports, entertainment, and various TV shows to its viewers." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "And they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p" }, "metavars": { "": "69", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "074ce2e0-5566-46c4-aea2-0ec0cf6fa86a", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAnd they are using the their platform to draw media attention and awareness to the issue. Nike knows who their customers are. #JustDoIt #Nike https://t.co/2ehv8QuO8p\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: a multinational corporation that designs, develops, manufactures, and markets footwear, apparel, equipment, accessories, and services.\n- JustDoIt: a famous Nike slogan that encourages individuals to step out of their comfort zone and take action.\n- Media: a collective communication outlets or tools used to store and deliver information or data to a broad audience." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;" }, "metavars": { "": "70", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "1e2b4f94-40f3-4438-bcd3-ecbcd8a2dbc8", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@JWKeady @Kaepernick7 @KillerMike @tmorello #Nike #JustDoIt #TakeAKnee \nI'll say it again; he makes me glad my service was not simply to an empire. He shows me that at least one American is ethically free & morally courageous enough to protest #injustice, as our forefathers once did. The rest of you seem to have forgotten;\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- JWKeady: American activist and author\n- Kaepernick7: American football quarterback and civil rights activist\n- KillerMike: American rapper, activist, and actor" ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Believe in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08" }, "metavars": { "": "71", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "52c6e95e-7cb7-43d5-8a1d-f10ea806fb7f", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nBelieve in ThrillBill. Even if it means sacrificing other plans.\n.\n.\n.\n#nike #justdoit #justthrillbill #djthrillbill #704 #charLIT #thecoolestdjintheworld #😎 #thrillbillionaires #qcdjs… https://t.co/ZvoQ85CU08\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- DJ ThrillBill: DJ ThrillBill is a renowned DJ based in Charlotte, North Carolina, known for being one of the coolest DJs in the world and having a significant following.\n- Nike: Nike is a well-known multinational corporation specializing in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- 704: 704 is the area code for Charlotte, North Carolina, in the United States. It is frequently used to represent the city or various businesses and organizations based in that area." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Those three words made all the difference. #JustDoIt https://t.co/CCrqAeINql" }, "metavars": { "": "72", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "fa4aebd2-545b-4ece-9377-55aac92e89b5", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThose three words made all the difference. #JustDoIt https://t.co/CCrqAeINql\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: A famous Nike slogan that encourages individuals to take action and overcome challenges.\n- Twitter: An American social media platform that allows users to post and interact with messages known as \"tweets\"." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "This is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh" }, "metavars": { "": "73", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "45328fdc-5fd5-4b3f-801b-448ba662ed7e", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is a great reminder that things may come to those that wait and they will be things left over by those that hustle. \nLess β€œinto thought” more β€œinto action”. \n#justdoit https://t.co/FMn00Vpmfh\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike\n - description: A well-known multinational corporation that specializes in athletic footwear, apparel, equipment, and accessories.\n- entity: Wikipedia\n - description: A free online encyclopedia that contains information on a wide range of topics.\n- entity: \"Just Do It\"\n - description: A popular slogan used by Nike to encourage people to take action and pursue their goals." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "You knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo" }, "metavars": { "": "74", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "76feef81-5d6d-4104-86ab-a961898e80d5", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou knew it was coming #justdoit #hehe #michaeljackson #heheintothewind https://t.co/KrnoBniTOo\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Michael Jackson: The \"King of Pop\", Michael Jackson was an American singer, songwriter, and dancer who is regarded as one of the greatest entertainers in the history of music." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm" }, "metavars": { "": "75", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "a27161f6-8f44-43f6-bcde-37e49f5d1393", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@Nike is aligning itself with the core values of our younger generation and celebrating athletes beyond their sport. BELIEVE IN SOMETHING. #thoughtwear #justdoit #diplomacy https://t.co/mP9M64pqvm\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that specializes in the design and manufacture of sports shoes, clothing, and accessories.\n- core values: Fundamental beliefs or principles that guide the behavior and actions of a group or organization.\n- athletes: Individuals who participate in sports and demonstrate exceptional physical prowess, skill, and competitive abilities." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "You’ve gotta WORK to make things WORK.\n\n#JustDoIt" }, "metavars": { "": "76", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "33ac3050-082d-4352-baf6-bb159947f939", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nYou’ve gotta WORK to make things WORK.\n\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that designs, manufactures, and markets athletic apparel, footwear, equipment, and accessories.\n- Just Do It: A famous slogan associated with the Nike brand, encouraging people to take action and pursue their goals by overcoming obstacles.\n- Wikipedia: A free online encyclopedia that allows users to create, edit, and collaborate on articles covering a wide range of topics." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Looking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd" }, "metavars": { "": "77", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "b1353519-f894-493b-96f7-236cd5e72894", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nLooking at the journey ahead...I will need to keep watching this😰 #JustDoIt https://t.co/inTQ4fgIdd\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A well-known multinational corporation that specializes in the design, development, and manufacturing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: A well-known slogan used by Nike as part of its marketing campaigns, intended to inspire and motivate people to take action and overcome obstacles.\n- Twitter: A popular social media platform that allows users to post and interact with messages known as tweets." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA" }, "metavars": { "": "78", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "6d0987c4-905a-4f0c-8d18-55f0e8da237e", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"So don't ask if your dreams are crazy, ask if your dreams are crazy enough.\" #nike #ad #justdoit #crazyenough #believeinsomething\nhttps://t.co/mQgvO8urfA\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike\n - description: Nike is a well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, accessories, equipment, and services.\n- entity: Just Do It\n - description: \"Just Do It\" is a famous slogan created by Nike, often associated with their brand and marketing campaigns, promoting a proactive and determined attitude towards achieving one's goals.\n- entity: Nike, Inc.\n - description: Nike, Inc. is the parent company of the Nike brand, known for its iconic swoosh logo. Founded by Bill Bowerman and Phil Knight, it is one of the world's largest suppliers of athletic shoes and apparel, as well as a major manufacturer of sports equipment." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt" }, "metavars": { "": "79", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "50d923e6-afa6-445b-bd05-33f33ae20007", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@madriannorman .@Nike\n@Kaepernick7 is to #Nike like A Fly is to Shit.\n#JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike\n description: Nike is a multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former National Football League (NFL) quarterback who gained widespread attention for his protests against racial injustice and police brutality by kneeling during the national anthem before NFL games.\n- entity: Just Do It\n description: \"Just Do It\" is a slogan created by Nike that has been used in various advertising campaigns to encourage people to take action and overcome challenges." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "We out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg" }, "metavars": { "": "80", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "50851c56-4e8e-4890-b946-f1ba2001eaed", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nWe out here..... Nike Sunday!!!!! #justdoit @ Tanger Outlets, Grand Rapids https://t.co/1C7Ipsyswg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike \n description: Nike is a well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- entity: Tanger Outlets\n description: Tanger Outlets is a chain of outlet shopping centers that offers a wide range of brand-name and designer fashions at discounted prices.\n- entity: Grand Rapids\n description: Grand Rapids is a city in Michigan, USA, known for its vibrant arts scene, picturesque riverfront, and numerous museums." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Owned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt" }, "metavars": { "": "81", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "14118527-6c6f-4a37-a44a-7605f1a43a49", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nOwned Yet, Libs? https://t.co/D7I86zTfL7 #Nike #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: a multinational corporation specializing in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Just Do It: a famous slogan used by Nike to encourage individuals to take action and pursue their goals." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Stand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z" }, "metavars": { "": "82", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "22e96c09-2c4a-420b-912a-c3af99e164f4", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nStand for something. Even if it means sacrifasing everything. \n\n#JustDoIt https://t.co/xpZz5XSA1z\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A well-known multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- Just Do It: Nike's iconic slogan, often used as a motivational phrase encouraging individuals to take action and pursue their goals.\n- Colin Kaepernick: A former professional American football quarterback known for his activism and advocacy, particularly against racial injustice and police brutality." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Now this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg" }, "metavars": { "": "83", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "33ad10f7-ff1a-4598-80c5-599fefb8328d", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNow this is what we’re talkin’ about! #MAGA #QAnon #JustDoIt #JustBlewIt #TheRainMakers @POTUS #FridayFeeIing https://t.co/QXriULydFg\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- MAGA: An acronym for \"Make America Great Again,\" which is a political slogan commonly associated with Donald Trump's 2016 presidential campaign and his presidency.\n- QAnon: An online conspiracy theory community that believes in deep state conspiracies and secret plots against President Donald Trump.\n- POTUS: An acronym for \"President of the United States,\" which is a title given to the current President of the United States." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt" }, "metavars": { "": "84", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "2fa48697-e8ae-4ff3-acc8-5a518448de7d", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@TsMadisonatl1 @PrimeVideo @MsIsisKing @Ariscestocrat @FishTankSeries Run Maddie Run...trackstar πŸƒπŸΎβ€β™€οΈ #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- @TsMadisonatl1: Ts Madison is a well-known transgender media personality and social media influencer.\n- @PrimeVideo: Prime Video is an online streaming service owned by Amazon, offering a wide range of movies, TV shows, and original content.\n- @MsIsisKing: Isis King is an American model and fashion designer, known for being the first transgender woman to compete on the reality TV show \"America's Next Top Model\"." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh" }, "metavars": { "": "85", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "e48e76c5-be91-4b12-b18c-7d42ac5226f0", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n#SplendidLoves Nike's 30th Anniversary #JustDoIt ad campaign with Colin Kaepernick https://t.co/1prGB5HjUh\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Colin Kaepernick: American former professional football quarterback known for his activism and advocacy for social justice issues.\n- Nike: American multinational corporation specializing in the design, development, manufacturing, and marketing of footwear, apparel, and accessories.\n- Just Do It: Nike's slogan, encouraging individuals to push their limits and pursue their goals." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "It’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt" }, "metavars": { "": "86", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "10723329-42db-45d1-97f9-d70e0c78509e", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nIt’s possible to be critical of Nike not paying its workers decent wages AND appreciate Nike’s ad featuring Karpernick. #JustDoIt\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: Nike is a multinational corporation that specializes in the design, manufacturing, and marketing of athletic footwear, apparel, equipment, and accessories.\n- Karpernick: It appears that \"Karpernick\" is a misspelling or a typo. However, there is a well-known figure named Colin Kaepernick. Colin Kaepernick is an American football quarterback who gained widespread attention for kneeling during the national anthem in protest against racial injustice and police brutality." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Slave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee" }, "metavars": { "": "87", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "d3bffc8c-e88a-4f97-8163-57d8d906b856", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nSlave owners and private prisons have used black men and women as a political and financial piece for gain\n\nBut people are mad that nike is putting money in Kaepernick's pockets giving a world platform for a message of racial injustice?\n#nike #JustDoIt #Kaepernick #TakeAKnee\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Slave Owners\n description: Individuals who owned and enforced slavery on black men and women for economic gain.\n- entity: Private Prisons\n description: Institutional facilities that detain individuals for profit, often criticized for their treatment of inmates.\n- entity: Nike\n description: A multinational corporation known for manufacturing and selling athletic shoes, apparel, and other sports equipment." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "This is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd" }, "metavars": { "": "88", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "6ebbd114-f127-4034-bacc-1b71c2d961e2", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nThis is fucked up lol #nike #colinkaepernick #kaepernick #america #nfl #justdoit #justdoitβœ”οΈ#steviewonder https://t.co/6pbTchCKWd\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation specializing in the design, development, manufacturing, and sales of athletic footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: A former professional American football player known for kneeling during the national anthem as a form of protest against racial injustice and police brutality.\n- Stevie Wonder: A legendary American singer, songwriter, and musician who is considered one of the most influential musicians of the 20th century, known for his soulful voice and ability to play multiple instruments." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Nike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ" }, "metavars": { "": "89", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "ae30e888-0613-4771-9918-320ad557a72d", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNike took a calculated risk. And won. #advertising #justdoit #nike https://t.co/1TGuPn9EAQ\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike: A multinational corporation that specializes in athletic footwear, apparel, equipment, and accessories.\n- entity: Advertising: A form of marketing communication used for promoting products, services, or ideas.\n- entity: Just Do It: The well-known slogan of Nike, used to encourage individuals to act decisively and boldly." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Just Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W" }, "metavars": { "": "90", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "08627962-296c-4cdd-bd4e-b3b785dfc1e3", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust Did It! \n#justdoit #nike #collinkaepernick #blackpower #thugpun https://t.co/MPrzoGVc5W\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike\n description: Nike is a multinational corporation that designs, manufactures, and sells athletic shoes, clothing, and accessories.\n- entity: Colin Kaepernick\n description: Colin Kaepernick is a former professional American football quarterback who became known for his protests against racial injustice by kneeling during the national anthem.\n- entity: Black Power\n description: Black Power is a political slogan and a name for various associated ideologies aimed at achieving self-determination for people of African descent." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "No one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n" }, "metavars": { "": "91", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "f9d1f683-e07c-4d0b-88b0-be46376838f6", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nNo one is safe @kobebryant πŸ˜‚πŸ˜‚ #JustDoIt https://t.co/W1A5J84i4n\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- @kobebryant: Kobe Bryant is a retired professional basketball player. He is considered one of the greatest basketball players of all time and played for the Los Angeles Lakers in the NBA.\n- Nike: Nike is a multinational corporation that specializes in the design, development, manufacturing, and marketing of footwear, apparel, equipment, accessories, and services.\n- Just Do It: \"Just Do It\" is a popular advertising slogan used by Nike since 1988. It has become widely recognized and associated with the brand's products and campaigns." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds" }, "metavars": { "": "92", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "34bead26-cacf-4e87-af8e-83a228747dc9", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@realDonaldTrump NIKE WAS PISSING YOU OFF.... AND IT WORKED!!!! AHAHAHAHAHAHAAHA #JUSTDOIT βœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈβœ”οΈ https://t.co/LwfWOu1Bds\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- NIKE: A multinational corporation that designs, manufactures, and sells athletic shoes, apparel, equipment, and accessories.\n- Donald Trump: The 45th President of the United States, a businessman, television personality, and politician.\n- JUST DO IT: Nike's iconic slogan, encouraging people to take action and push themselves beyond their limits." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "Just to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL" }, "metavars": { "": "93", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "b024fa0a-7b92-4dd2-a1a1-1ce5f9eae7bc", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nJust to get you hyped for the weekend! #justdoit Nike: Juntas Imparables - Just Do It https://t.co/PxLs2wpnZL\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that specializes in the design, manufacturing, and distribution of athletic footwear, apparel, equipment, and accessories.\n- Juntas Imparables: A campaign or event associated with Nike that promotes empowerment and determination.\n- Just Do It: Nike's famous slogan, encouraging individuals to take action and pursue their goals." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit" }, "metavars": { "": "94", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "e80addf9-a970-447a-887e-4403d1552c61", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@beerscouts @LindseyGrahamSC @SenatorCollins @JeffFlake @marcorubio @SenSasse @SenatorIsakson @sendavidperdue @senrobportman @SenBobCorker @lisamurkowski @RepErikPaulsen @SenatorLankford @SenatorBurr @BillCassidy @SenPatRoberts They should #justdoit\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Lindsey Graham: U.S. Senator Lindsey Graham, who represents South Carolina, is known for his strong conservative stance and his role in various political debates, particularly on foreign policy and national security issues.\n- Marco Rubio: Marco Rubio is a prominent American politician and U.S. Senator from Florida. He gained national attention during his bid for the Republican nomination in the 2016 presidential election and has been actively involved in legislative efforts on immigration and foreign policy.\n- Lisa Murkowski: Lisa Murkowski is a Republican U.S. Senator from Alaska. She is known for her independent stance on various issues and has been a key player in energy and natural resource policy, particularly in relation to her home state." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "its Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep" }, "metavars": { "": "95", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "8f4118f4-0204-4d6b-be16-dba79fc1e9ff", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nits Natives killed\nGot you singin' this star-spangled spiel\nTo a piece of cloth that represents the \"Land of the Free\" that made people slaves to build #eminem #revival #nike #ColinKaepernick #JustDoIt #iStandWithKaep\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: An American multinational corporation that designs, develops, and manufactures footwear, apparel, equipment, and accessories.\n- Colin Kaepernick: An American former professional football player who is known for his political activism, especially his peaceful protests against police brutality and racial inequality during the national anthem.\n- Eminem: An American rapper, songwriter, and record producer, widely regarded as one of the greatest and most influential hip hop artists of all time." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": ".@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC" }, "metavars": { "": "96", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "5e7e9d93-39db-4616-9ce9-f83825ba671d", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n.@TMZ (of all places) analyzed @Nike customer demographic #JustDoIt https://t.co/tx7F99W2qC\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: TMZ\n - description: TMZ is a celebrity news and gossip website that provides up-to-the-minute entertainment news and coverage on celebrities, Hollywood events, and pop culture.\n- entity: Nike\n - description: Nike is a multinational corporation specializing in the design, development, manufacturing, and marketing of athletic shoes, apparel, equipment, accessories, and services.\n- entity: JustDoIt\n - description: Just Do It is a well-known slogan and advertising campaign used by Nike to encourage people to push their limits and achieve their goals in sports and everyday life." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP" }, "metavars": { "": "97", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "19ac4ebb-d965-4eae-96f1-2624d14c64df", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n@nikestore love my nikes\n#JUSTDOIT https://t.co/DNw0ZI3hiP\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- entity: Nike: a multinational corporation that designs, develops, and manufactures footwear and apparel\n- entity: Nike Store: a physical or online retail store operated by Nike\n- entity: #JustDoIt: a famous marketing slogan used by Nike as an encouragement to take action and pursue one's goals" ], "tokens": {}, "eval_res": { "items": [ false ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk" }, "metavars": { "": "98", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "a5a94694-f1b2-47f4-b670-910274a38c47", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n\"Don't ask if your dreams are crazy, ask if you're crazy enough to bring them into reality.\"\n#JustDoIt https://t.co/KDAC7wXFWk\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation known for its sports apparel, footwear, and accessories.\n- Just Do It: Nike's famous slogan, encouraging individuals to pursue their goals and dreams with determination and resilience.\n- Twitter: A social media platform that allows users to share short messages called tweets with their followers." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } }, { "vars": { "tweet_full_text": "All Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om" }, "metavars": { "": "99", "__pt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\n{tweet_full_text}\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "LLM_0": "Azure OpenAI" }, "uid": "a7af0baa-7344-43af-92b4-7b2eea463911", "llm": { "key": "ac81f5a8-d4fc-4639-953d-e7a9be28f374", "name": "Azure OpenAI", "emoji": "πŸ”·", "model": "azure-openai", "base_model": "azure-openai", "temp": 1, "settings": { "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": { "type": "text" }, "functions": [], "function_call": "", "top_p": 1, "stop": [], "presence_penalty": 0, "frequency_penalty": 0 }, "formData": { "shortname": "Azure OpenAI", "deployment_name": "gpt-35-turbo-16k", "model_type": "chat-completion", "api_version": "2023-05-15", "system_msg": "You are a helpful assistant.", "temperature": 1, "response_format": "text", "functions": "", "function_call": "", "top_p": 1, "stop": "", "presence_penalty": 0, "frequency_penalty": 0 }, "progress": { "success": 0, "error": 0 } }, "prompt": "You will be doing named entity recognition (NER). Extract up to 3 well-known entities from the following tweet:\n\nAll Protest Do Not Lead to Progess... When You Protest Alone & Willing to Stand Strong as One For All; Your Efforts Will Continue To Rise When People want to see You Fall! #History #Kapernick #JustDoIt @Nike @nikefootball @OWNTV @TheEllenShow @BETNews #BeYou #livelaughlove #Smile https://t.co/ehJN5nF0Om\n\nFor each entity, write one sentence describing the person or entity. All the entities you extract should be found in a knowledge base like Wikipedia, so don't make up entities. Return your answer as a bulleted Markdown list, where each bullet is formatted as `- entity: description`. Do not extract hashtags as entities.\n\n", "responses": [ "- Nike: A multinational corporation that is one of the world's largest suppliers of athletic shoes and apparel.\n- Kaepernick: Colin Kaepernick, a former professional American football quarterback and civil rights activist known for his protests against racial injustice by kneeling during the national anthem at NFL games.\n- The Ellen Show: A popular American daytime talk show hosted by Ellen DeGeneres, featuring celebrity interviews, comedy, and musical performances." ], "tokens": {}, "eval_res": { "items": [ true ], "dtype": "Categorical" } } ] } }