Triple

T12355072
Position Surface form Disambiguated ID Type / Status
Subject 山下 E294589 entity
Predicate hasNotableBearer P458 FINISHED
Object 山下泰裕
山下泰裕は、1984年ロサンゼルス五輪無差別級金メダル獲得や長期にわたる無敗記録で知られる日本の伝説的な柔道家である。
E979875 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 山下泰裕 | Statement: [山下, hasNotableBearer, 山下泰裕]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 山下泰裕
Context triple: [山下, hasNotableBearer, 山下泰裕]
  • A. 山口那津男
    山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
  • B. 西村祥治
    西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
  • C. 坂 茂
    坂 茂 is a renowned Japanese architect celebrated for his innovative use of paper and recyclable materials in humanitarian and disaster-relief structures.
  • D. 杉本博司
    杉本博司は、長時間露光による海景や劇場シリーズなどで知られる、日本出身の世界的に著名な現代美術写真家・美術家です。
  • E. 久米邦武
    久米邦武 was a Meiji-era Japanese historian and scholar best known for documenting the Iwakura Mission and advancing modern historical studies in Japan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 山下泰裕
Triple: [山下, hasNotableBearer, 山下泰裕]
Generated description
山下泰裕は、1984年ロサンゼルス五輪無差別級金メダル獲得や長期にわたる無敗記録で知られる日本の伝説的な柔道家である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 山下泰裕
Target entity description: 山下泰裕は、1984年ロサンゼルス五輪無差別級金メダル獲得や長期にわたる無敗記録で知られる日本の伝説的な柔道家である。
  • A. 山口那津男
    山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
  • B. 西村祥治
    西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
  • C. 坂 茂
    坂 茂 is a renowned Japanese architect celebrated for his innovative use of paper and recyclable materials in humanitarian and disaster-relief structures.
  • D. 杉本博司
    杉本博司は、長時間露光による海景や劇場シリーズなどで知られる、日本出身の世界的に著名な現代美術写真家・美術家です。
  • E. 久米邦武
    久米邦武 was a Meiji-era Japanese historian and scholar best known for documenting the Iwakura Mission and advancing modern historical studies in Japan.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8bc60c8190b0ceb84093e70db4 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab4cdec8190849604ef2ec498ba completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be420308190bcb00d8b37b09ea2 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f63050f5d48190881688d12c4c1819 completed May 2, 2026, 5:11 p.m.
Created at: April 8, 2026, 9:54 p.m.