Triple

T16274206
Position Surface form Disambiguated ID Type / Status
Subject Shirō Ishii E395082 entity
Predicate nativeName P15 FINISHED
Object 石井 四郎
石井 四郎 was a Japanese army microbiologist and lieutenant general who led the notorious Unit 731, responsible for conducting lethal human experimentation and biological warfare research before and during World War II.
E1204605 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: 石井 四郎 | Statement: [Shirō Ishii, nativeName, 石井 四郎]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 石井 四郎
Context triple: [Shirō Ishii, nativeName, 石井 四郎]
  • A. 松井 石根
    松井石根 was a Japanese Imperial Army general during the Second Sino-Japanese War who was later convicted as a war criminal for his role in the Nanjing Massacre.
  • B. 丸山毅四郎
    丸山毅四郎 was a Japanese mathematician known for his contributions to topology and for helping develop modern mathematical research in Japan.
  • C. 井筒俊彦
    井筒俊彦は、イスラーム思想やスーフィズム、東洋思想の比較研究で知られる日本の哲学者・宗教学者です。
  • D. 伊藤利助
    伊藤利助は、日本初代内閣総理大臣として知られる明治時代の政治家・伊藤博文の別名である。
  • E. 山内 房治郎
    山内 房治郎 was a Japanese entrepreneur best known as the founder of Nintendo, originally established as a playing card company in the late 19th century.
  • 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: 石井 四郎
Triple: [Shirō Ishii, nativeName, 石井 四郎]
Generated description
石井 四郎 was a Japanese army microbiologist and lieutenant general who led the notorious Unit 731, responsible for conducting lethal human experimentation and biological warfare research before and during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 石井 四郎
Target entity description: 石井 四郎 was a Japanese army microbiologist and lieutenant general who led the notorious Unit 731, responsible for conducting lethal human experimentation and biological warfare research before and during World War II.
  • A. 松井 石根
    松井石根 was a Japanese Imperial Army general during the Second Sino-Japanese War who was later convicted as a war criminal for his role in the Nanjing Massacre.
  • B. 丸山毅四郎
    丸山毅四郎 was a Japanese mathematician known for his contributions to topology and for helping develop modern mathematical research in Japan.
  • C. 井筒俊彦
    井筒俊彦は、イスラーム思想やスーフィズム、東洋思想の比較研究で知られる日本の哲学者・宗教学者です。
  • D. 伊藤利助
    伊藤利助は、日本初代内閣総理大臣として知られる明治時代の政治家・伊藤博文の別名である。
  • E. 山内 房治郎
    山内 房治郎 was a Japanese entrepreneur best known as the founder of Nintendo, originally established as a playing card company in the late 19th century.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460c2d948190813b66e539a64a70 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c0ef4c8190b44ac84f71b2ed41 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a001a35b43081909b44a22798b1ef1b completed May 10, 2026, 5:40 a.m.
NED2 Entity disambiguation (via description) batch_6a001a93530c81908cb4180d9ebe9850 completed May 10, 2026, 5:41 a.m.
Created at: April 10, 2026, 5:05 a.m.