Triple

T8325396

Position	Surface form	Disambiguated ID	Type / Status
Subject	岸信介	`E194938`	entity
Predicate	親族	`P28764`	FINISHED
Object	佐藤市郎佐藤市郎は、日本の政治家・岸信介の親族にあたる人物である。	`E727917`	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: 佐藤市郎 | Statement: [岸信介, 親族, 佐藤市郎]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: 佐藤市郎
Context triple: [岸信介, 親族, 佐藤市郎]

A. 佐藤信介
佐藤信介は、戦後日本の保守政治を主導し第56・57代内閣総理大臣を務めた政治家・岸信介の本名である。
B. 佐藤
佐藤 is a very common Japanese surname, often romanized as Satō or Sato.
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. 斎藤邦太郎
斎藤邦太郎は、日本の政治家・第30代内閣総理大臣である斎藤実の子として知られる人物である。
E. 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.
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: 佐藤市郎
Triple: [岸信介, 親族, 佐藤市郎]

Generated description

佐藤市郎は、日本の政治家・岸信介の親族にあたる人物である。

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: 佐藤市郎
Target entity description: 佐藤市郎は、日本の政治家・岸信介の親族にあたる人物である。

A. 佐藤信介
佐藤信介は、戦後日本の保守政治を主導し第56・57代内閣総理大臣を務めた政治家・岸信介の本名である。
B. 佐藤
佐藤 is a very common Japanese surname, often romanized as Satō or Sato.
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. 斎藤邦太郎
斎藤邦太郎は、日本の政治家・第30代内閣総理大臣である斎藤実の子として知られる人物である。
E. 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.
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_69ca82e7a8a88190a32bb5cc0feb012d`	completed	March 30, 2026, 2:04 p.m.
NER	Named-entity recognition	`batch_69cb7f7fba688190b696593dfb2cde5d`	completed	March 31, 2026, 8:02 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69cdc6fee5dc8190b2de22d210884e51`	completed	April 2, 2026, 1:31 a.m.
NEDg	Description generation	`batch_69cdcc8439cc8190b00ce9b0781d0544`	completed	April 2, 2026, 1:55 a.m.
NED2	Entity disambiguation (via description)	`batch_69cdcdd1a0c08190aa15e665a38945e7`	completed	April 2, 2026, 2 a.m.

Created at: March 30, 2026, 5:56 p.m.