Triple

T1730052
Position Surface form Disambiguated ID Type / Status
Subject Nobusuke Kishi E37588 entity
Predicate nativeName P15 FINISHED
Object 岸 信介
岸 信介 was a Japanese politician who served as Prime Minister in the late 1950s and played a key role in strengthening Japan’s postwar alliance with the United States.
E194938 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: 岸 信介 | Statement: [Nobusuke Kishi, nativeName, 岸 信介]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 岸 信介
Context triple: [Nobusuke Kishi, nativeName, 岸 信介]
  • A. 岸田裕子
    岸田裕子 is the wife of Japanese Prime Minister Fumio Kishida and serves as Japan’s First Lady, known for her diplomatic and cultural engagements at home and abroad.
  • B. 本間雅晴
    本間雅晴は、第二次世界大戦期にフィリピン侵攻作戦を指揮し、戦後に戦争犯罪で裁かれた日本陸軍の軍人である。
  • C. 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.
  • D. 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.
  • E. 山本
    山本 is a common Japanese surname borne by many notable figures across fields such as politics, sports, and the arts.
  • 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: 岸 信介
Triple: [Nobusuke Kishi, nativeName, 岸 信介]
Generated description
岸 信介 was a Japanese politician who served as Prime Minister in the late 1950s and played a key role in strengthening Japan’s postwar alliance with the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 岸 信介
Target entity description: 岸 信介 was a Japanese politician who served as Prime Minister in the late 1950s and played a key role in strengthening Japan’s postwar alliance with the United States.
  • A. 岸田裕子
    岸田裕子 is the wife of Japanese Prime Minister Fumio Kishida and serves as Japan’s First Lady, known for her diplomatic and cultural engagements at home and abroad.
  • B. 本間雅晴
    本間雅晴は、第二次世界大戦期にフィリピン侵攻作戦を指揮し、戦後に戦争犯罪で裁かれた日本陸軍の軍人である。
  • C. 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.
  • D. 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.
  • E. 山本
    山本 is a common Japanese surname borne by many notable figures across fields such as politics, sports, and the arts.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa637f202c8190b46a31bef51465c8 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8af9c15c8190818a891f5eae6569 completed March 8, 2026, 2:43 p.m.
NEDg Description generation batch_69ad957ce41881909f1e214ebf4b08a4 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b479bc81908b5f75b5df41f577 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.