Triple

T14357656

Position	Surface form	Disambiguated ID	Type / Status
Subject	伊藤博文	`E356012`	entity
Predicate	子女	`P980`	FINISHED
Object	伊藤文吉伊藤文吉は、日本の初代内閣総理大臣である伊藤博文の子として知られる人物である。	`E1099589`	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: 伊藤文吉 | Statement: [伊藤博文, 子女, 伊藤文吉]

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

Target entity: 伊藤文吉
Context triple: [伊藤博文, 子女, 伊藤文吉]

A. 伊藤利助
伊藤利助は、日本初代内閣総理大臣として知られる明治時代の政治家・伊藤博文の別名である。
B. 伊藤清
伊藤清は、確率論と確率過程論に革命をもたらした伊藤積分・伊藤過程などで知られる日本の数学者です。
C. 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.
D. 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。
E. 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.
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: 伊藤文吉
Triple: [伊藤博文, 子女, 伊藤文吉]

Generated description

伊藤文吉は、日本の初代内閣総理大臣である伊藤博文の子として知られる人物である。

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

Target entity: 伊藤文吉
Target entity description: 伊藤文吉は、日本の初代内閣総理大臣である伊藤博文の子として知られる人物である。

A. 伊藤利助
伊藤利助は、日本初代内閣総理大臣として知られる明治時代の政治家・伊藤博文の別名である。
B. 伊藤清
伊藤清は、確率論と確率過程論に革命をもたらした伊藤積分・伊藤過程などで知られる日本の数学者です。
C. 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.
D. 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。
E. 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.
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_69d82790a7e08190877e2d349b2e8d8e`	completed	April 9, 2026, 10:26 p.m.
NER	Named-entity recognition	`batch_69de8f52ca7881908704eef20228aed3`	completed	April 14, 2026, 7:02 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69fd5bbd7cb881908b33b3aae4243f2e`	completed	May 8, 2026, 3:42 a.m.
NEDg	Description generation	`batch_69fd5c6494788190af55027c7c2c45b7`	completed	May 8, 2026, 3:45 a.m.
NED2	Entity disambiguation (via description)	`batch_69fd5cc9ec1c8190b761c9459ca0c52e`	completed	May 8, 2026, 3:47 a.m.

Created at: April 10, 2026, 1:15 a.m.