Triple

T5936608
Position Surface form Disambiguated ID Type / Status
Subject 吉田茂 E132059 entity
Predicate 子女 P980 FINISHED
Object 吉田健一
吉田健一は、戦後日本を代表する首相・吉田茂の長男であり、英文学者・評論家として知られる文学者である。
E559236 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: 吉田健一 | Statement: [吉田茂, 子女, 吉田健一]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 吉田健一
Context triple: [吉田茂, 子女, 吉田健一]
  • A. 吉田 茂
    吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
  • B. 岡田啓介
    岡田啓介は、昭和初期に海軍大将出身として内閣総理大臣を務め、二・二六事件の際に襲撃を受けたことで知られる日本の政治家・軍人である。
  • C. 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.
  • D. 嶋田繁太郎
    嶋田繁太郎 was an Imperial Japanese Navy admiral who served as Navy Minister during World War II and played a key role in Japan’s wartime naval policy.
  • E. 黒川紀章
    黒川紀章は、日本のメタボリズム運動を代表する建築家であり、国立新美術館や中銀カプセルタワービルなどで知られる。
  • 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: 吉田健一
Triple: [吉田茂, 子女, 吉田健一]
Generated description
吉田健一は、戦後日本を代表する首相・吉田茂の長男であり、英文学者・評論家として知られる文学者である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 吉田健一
Target entity description: 吉田健一は、戦後日本を代表する首相・吉田茂の長男であり、英文学者・評論家として知られる文学者である。
  • A. 吉田 茂
    吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
  • B. 岡田啓介
    岡田啓介は、昭和初期に海軍大将出身として内閣総理大臣を務め、二・二六事件の際に襲撃を受けたことで知られる日本の政治家・軍人である。
  • C. 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.
  • D. 嶋田繁太郎
    嶋田繁太郎 was an Imperial Japanese Navy admiral who served as Navy Minister during World War II and played a key role in Japan’s wartime naval policy.
  • E. 黒川紀章
    黒川紀章は、日本のメタボリズム運動を代表する建築家であり、国立新美術館や中銀カプセルタワービルなどで知られる。
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038eca9688190adeed21df058daf1 completed March 22, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3b68a1c81908a219ffee8300e02 completed March 23, 2026, 6:54 a.m.
NEDg Description generation batch_69c0f69ac3f8819093ef9965395b5a44 completed March 23, 2026, 8:15 a.m.
NED2 Entity disambiguation (via description) batch_69c0f76626208190a6fe34192f3d4e2e completed March 23, 2026, 8:18 a.m.
Created at: March 22, 2026, 4:01 p.m.