Triple

T10530151
Position Surface form Disambiguated ID Type / Status
Subject Yoshisuke Aikawa E248417 entity
Predicate nativeName P15 FINISHED
Object 鮎川 義介
鮎川 義介 was a prominent Japanese industrialist and founder of the Nissan zaibatsu who played a key role in the development of Japan’s automotive and heavy industry sectors in the early 20th century.
E869664 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: 鮎川 義介 | Statement: [Yoshisuke Aikawa, nativeName, 鮎川 義介]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 鮎川 義介
Context triple: [Yoshisuke Aikawa, nativeName, 鮎川 義介]
  • A. 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.
  • 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. 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. 広田 弘毅
    広田 弘毅 was a Japanese diplomat and politician who served as Prime Minister in the 1930s and was later executed as a Class A war criminal after World War II.
  • E. 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。
  • 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: 鮎川 義介
Triple: [Yoshisuke Aikawa, nativeName, 鮎川 義介]
Generated description
鮎川 義介 was a prominent Japanese industrialist and founder of the Nissan zaibatsu who played a key role in the development of Japan’s automotive and heavy industry sectors in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 鮎川 義介
Target entity description: 鮎川 義介 was a prominent Japanese industrialist and founder of the Nissan zaibatsu who played a key role in the development of Japan’s automotive and heavy industry sectors in the early 20th century.
  • A. 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.
  • 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. 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. 広田 弘毅
    広田 弘毅 was a Japanese diplomat and politician who served as Prime Minister in the 1930s and was later executed as a Class A war criminal after World War II.
  • E. 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。
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f7d8ac8190b90c1a7f77b23545 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e3caf4c8190b19199f1a68a00de completed April 10, 2026, 2:50 p.m.
NEDg Description generation batch_69d9107f488481908845aef0fdf6d60d completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911790010819093fc50952502fd59 completed April 10, 2026, 3:04 p.m.
Created at: April 6, 2026, 12:30 p.m.