{"_id": {"$oid": "6ac4c7b6164e0f17c0b238e0"}, "test_id": "T1677", "benchmark": "business_letters", "date": "2026-09-17", "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": "anthropic", "model": "claude-fable-5-1", "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", "rules": "{\"skip_signatures\": true, \"skip_non_signatures\": false}", "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": "{\n    \"letter_title\": [\"null\"],\n    \"send_date\": [\"1926-03-29\"],\n    \"sender_persons\": [\"null\"],\n    \"receiver_persons\": [\"Dr. W. Krasting\"]\n}", "model": "claude-fable-5-1", "provider": "anthropic", "finish_reason": "end_turn", "usage": {"input_tokens": 4327, "output_tokens": 73, "total_tokens": 4400, "input_cost_usd": 0.04327, "output_cost_usd": 0.00365, "estimated_cost_usd": 0.04692}, "duration": 6.838838577270508, "timestamp": "2026-09-17T14:20:28.807152", "parsed": {"letter_title": ["null"], "send_date": ["1926-03-29"], "sender_persons": ["null"], "receiver_persons": ["Dr. W. Krasting"]}, "conversation_id": "7c9c72de-27d2-4094-81ac-2f78dfc57765", "score": {"send_date_tp": 1, "send_date_fp": 0, "send_date_fn": 0, "sender_persons_tp": 0, "sender_persons_fp": 0, "sender_persons_fn": 0, "receiver_persons_tp": 1, "receiver_persons_fp": 0, "receiver_persons_fn": 0, "field_scores": {"send_date": {"response": ["1926-03-29"], "ground_truth": ["1926-03-29"], "score": null, "counts": {"send_date_tp": 1, "send_date_fp": 0, "send_date_fn": 0}}, "sender_persons": {"response": [], "ground_truth": [], "score": null, "counts": {"sender_persons_tp": 0, "sender_persons_fp": 0, "sender_persons_fn": 0}}, "receiver_persons": {"response": ["Krasting, Wilhelm"], "ground_truth": ["Krasting, Wilhelm"], "score": null, "counts": {"receiver_persons_tp": 1, "receiver_persons_fp": 0, "receiver_persons_fn": 0}}}}, "raw_response": "{\"id\":\"msg_011Cf911tyn2mjWhe3Zc7Sew\",\"container\":null,\"content\":[{\"citations\":null,\"text\":\"{\\n    \\\"letter_title\\\": [\\\"null\\\"],\\n    \\\"send_date\\\": [\\\"1926-03-29\\\"],\\n    \\\"sender_persons\\\": [\\\"null\\\"],\\n    \\\"receiver_persons\\\": [\\\"Dr. W. Krasting\\\"]\\n}\",\"type\":\"text\"}],\"model\":\"claude-fable-5-1\",\"role\":\"assistant\",\"stop_reason\":\"end_turn\",\"stop_sequence\":null,\"type\":\"message\",\"usage\":{\"cache_creation\":{\"ephemeral_1h_input_tokens\":0,\"ephemeral_5m_input_tokens\":0},\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"inference_geo\":\"global\",\"input_tokens\":4327,\"output_tokens\":73,\"server_tool_use\":null,\"service_tier\":\"standard\",\"output_tokens_details\":{\"thinking_tokens\":0}},\"stop_details\":null}"}, "scoring": {"f1_macro": 0.52, "f1_micro": 0.63, "cost_summary": {"total_input_tokens": 146685, "total_output_tokens": 2838, "total_tokens": 149523, "input_cost_usd": 1.4668499999999995, "output_cost_usd": 0.14190000000000003, "total_cost_usd": 1.6087500000000001}}, "pricing": {"bucket_date": "2026-09-08", "age_days": 9, "input_price_per_million": 10.0, "output_price_per_million": 50.0}, "timing": {"total_response_s": 159.51, "mean_response_s": 6.38, "slowest_response_s": 8.47, "inputs_timed": 25, "inputs_stored": 25, "span_s": 12.58}, "normalized_score": 52.0}