Triple

T1139065
Position Surface form Disambiguated ID Type / Status
Subject Iwane Matsui E23407 entity
Predicate nativeName P15 FINISHED
Object 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.
E129555 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: 松井 石根 | Statement: [Iwane Matsui, nativeName, 松井 石根]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 松井 石根
Context triple: [Iwane Matsui, nativeName, 松井 石根]
  • A. 山本
    山本 is a common Japanese surname borne by many notable figures across fields such as politics, sports, and the arts.
  • B. 畑 俊六
    畑俊六 was a Japanese general who served as the last Army Minister of the Empire of Japan during World War II.
  • C. 淵田 美津雄
    淵田 美津雄 was a Japanese naval aviator best known for leading the air attack on Pearl Harbor during World War II and later becoming a Christian evangelist.
  • D. Yoshijiro Umezu
    Yoshijiro Umezu was a Japanese general who served as the final Chief of the Army General Staff during World War II and played a key role in Japan’s surrender.
  • E. 朝永振一郎
    朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
  • 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: 松井 石根
Triple: [Iwane Matsui, nativeName, 松井 石根]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 松井 石根
Target entity description: 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.
  • A. 山本
    山本 is a common Japanese surname borne by many notable figures across fields such as politics, sports, and the arts.
  • B. 畑 俊六
    畑俊六 was a Japanese general who served as the last Army Minister of the Empire of Japan during World War II.
  • C. 淵田 美津雄
    淵田 美津雄 was a Japanese naval aviator best known for leading the air attack on Pearl Harbor during World War II and later becoming a Christian evangelist.
  • D. Yoshijiro Umezu
    Yoshijiro Umezu was a Japanese general who served as the final Chief of the Army General Staff during World War II and played a key role in Japan’s surrender.
  • E. 朝永振一郎
    朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc27c88881909c64ec30b7f66575 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59b020d48190bc6ecbdb720c6779 completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a7599048190a46b0d560270ffa4 completed March 7, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_69ac5af24a948190a37c832508149a48 completed March 7, 2026, 5:05 p.m.
Created at: March 1, 2026, 7:44 p.m.