{"_id": {"$oid": "6ac4c7b6164e0f17c0b239ee"}, "test_id": "T1841", "benchmark": "business_letters", "date": "2026-09-27", "tags": {"document-type": ["letter"], "writing": ["typed", "handwritten"], "century": [20], "language": ["de"], "layout": ["prose"], "entry-type": ["person", "location"], "task": ["information-extraction"]}, "contributors": ["eric_decker", "maximilian_hindermann", "lea_kasper", "anthea_alberto", "pema_frick", "jose_luis_losada_palenzuela", "sorin_marti", "elena_spadini"], "hidden": false, "config": {"provider": "openai", "model": "gpt-6-luna", "dataclass": "Document", "temperature": 0.0, "role_description": "You are a historian with keyword knowledge and an expert in the field of 20th century Swiss history", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "            IDENTITY and PURPOSE:\n\n            You are presented with a series of images constituting a historical letter. Your task is to extract the\n            values of the following keys from the letter and return them in a JSON file where the values\n            corresponding to each key should be stored as a list, even if there is only a single value for a\n            key:\n\n            - letter_title: Title of the letter.\n            - sender_persons: Name(s) of the person(s) who wrote the letter.\n            - send_date: The exact or approximate date the letter was written.\n            - receiver_persons: Name(s) of the person(s) who received the letter.\n\n            Take a deep breath and think step by step about how to best accomplish this goal. Map out all the claims\n            and implications on a virtual whiteboard in your mind. Do not use OCR. Use the ISO format YYYY-MM-DD for\n            dates. If a piece of information is not included in the letter, set the value for the corresponding key\n            to \"null\". Do not return anything except the JSON file.\n\n            EXAMPLE:\n\n            {\n                \"letter_title\": [\"Petition for Environmental Protection\"],\n                \"send_date\": [\"1993-03-12\"],\n                \"sender_persons\": [\"Lisa Simpson\"],\n                \"receiver_persons\": [\"Mayor Joe Quimby\", \"Seymour Skinner\"],\n            }\n\n            OUTPUT:", "results": {"text": "{\"metadata\":{\"send_date\":[\"1926-02-16\"],\"letter_title\":[\"Zusammenarbeit im Personenschifffahrtsgesch\u00e4ft\"],\"sender_persons\":[\"E. M\u00fcller\"],\"receiver_persons\":[\"Christ\"]}}", "model": "gpt-6-luna", "provider": "openai", "finish_reason": "stop", "usage": {"input_tokens": 11084, "output_tokens": 540, "total_tokens": 11624, "reasoning_tokens": 0, "input_cost_usd": 0.0011084, "output_cost_usd": 0.00027, "reasoning_cost_usd": 0.0, "estimated_cost_usd": 0.0013784000000000001}, "duration": 7.66046404838562, "timestamp": "2026-09-27T14:01:07.390324", "parsed": {"metadata": {"send_date": ["1926-02-16"], "letter_title": ["Zusammenarbeit im Personenschifffahrtsgesch\u00e4ft"], "sender_persons": ["E. M\u00fcller"], "receiver_persons": ["Christ"]}}, "conversation_id": "edf7fc64-60a7-486f-9a43-6d3a4058bbb5", "score": {"send_date_tp": 1, "send_date_fp": 0, "send_date_fn": 0, "sender_persons_tp": 0, "sender_persons_fp": 1, "sender_persons_fn": 2, "receiver_persons_tp": 1, "receiver_persons_fp": 0, "receiver_persons_fn": 0, "field_scores": {"send_date": {"response": ["1926-02-16"], "ground_truth": ["1926-02-16"], "score": null, "counts": {"send_date_tp": 1, "send_date_fp": 0, "send_date_fn": 0}}, "sender_persons": {"response": ["E. M\u00fcller"], "ground_truth": ["Groschupf-Jaeger, Louis", "Ritter-Dreier, Fritz"], "score": null, "counts": {"sender_persons_tp": 0, "sender_persons_fp": 1, "sender_persons_fn": 2}}, "receiver_persons": {"response": ["Christ-Wackernagel, Paul"], "ground_truth": ["Christ-Wackernagel, Paul"], "score": null, "counts": {"receiver_persons_tp": 1, "receiver_persons_fp": 0, "receiver_persons_fn": 0}}}}, "raw_response": "{\"id\":\"chatcmpl-EShqvtDcKPO5VhIU1RA7VQ2YhGepF\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n  \\\"metadata\\\": {\\n    \\\"send_date\\\": [\\\"1926-02-16\\\"],\\n    \\\"letter_title\\\": [\\\"Zusammenarbeit im Personenschifffahrtsgesch\u00e4ft\\\"],\\n    \\\"sender_persons\\\": [\\\"E. M\u00fcller\\\"],\\n    \\\"receiver_persons\\\": [\\\"Christ\\\"]\\n  }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":[],\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"metadata\":{\"send_date\":[\"1926-02-16\"],\"letter_title\":[\"Zusammenarbeit im Personenschifffahrtsgesch\u00e4ft\"],\"sender_persons\":[\"E. M\u00fcller\"],\"receiver_persons\":[\"Christ\"]}}}}],\"created\":1790510461,\"model\":\"gpt-6-luna\",\"object\":\"chat.completion\",\"service_tier\":\"default\",\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":540,\"prompt_tokens\":11084,\"total_tokens\":11624,\"completion_tokens_details\":{\"accepted_prediction_tokens\":0,\"audio_tokens\":0,\"reasoning_tokens\":468,\"rejected_prediction_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":0}}}"}, "scoring": {"f1_macro": 0.59, "f1_micro": 0.62, "cost_summary": {"total_input_tokens": 373952, "total_output_tokens": 18358, "total_tokens": 392310, "input_cost_usd": 0.03739519999999999, "output_cost_usd": 0.009179, "total_cost_usd": 0.04657420000000001}}, "pricing": {"bucket_date": "2026-09-27", "age_days": 0, "input_price_per_million": 0.1, "output_price_per_million": 0.5}, "timing": {"total_response_s": 273.0, "mean_response_s": 4.79, "slowest_response_s": 9.36, "inputs_timed": 57, "inputs_stored": 57, "span_s": 27.0}, "normalized_score": 59.0}