Triple

T21800654

Position	Surface form	Disambiguated ID	Type / Status
Subject	Hiroshi Abe	`E538229`	entity
Predicate	nativeName	`P15`	FINISHED
Object	阿部寛阿部寛は、日本の映画やテレビドラマで幅広い役柄を演じることで知られる人気俳優です。	`E1502035`	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: 阿部寛 | Statement: [Hiroshi Abe, nativeName, 阿部寛]

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

Target entity: 阿部寛
Context triple: [Hiroshi Abe, nativeName, 阿部寛]

A. 小栗旬
小栗旬は、日本の映画・ドラマ・舞台で幅広く活躍し、多彩な役柄と演技力で知られる人気俳優です。
B. 原広司
原広司は、日本のポストモダン建築を代表し、梅田スカイビルなど独創的な都市建築で知られる建築家です。
C. 伊藤英明
伊藤英明は、『海猿』シリーズなどで知られる日本の俳優です。
D. Kōji Yakusho
Kōji Yakusho is an acclaimed Japanese actor known for his versatile performances in both domestic cinema and international films such as "Shall We Dance?" and "13 Assassins."
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: 阿部寛
Triple: [Hiroshi Abe, nativeName, 阿部寛]

Generated description

阿部寛は、日本の映画やテレビドラマで幅広い役柄を演じることで知られる人気俳優です。

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

Target entity: 阿部寛
Target entity description: 阿部寛は、日本の映画やテレビドラマで幅広い役柄を演じることで知られる人気俳優です。

A. 小栗旬
小栗旬は、日本の映画・ドラマ・舞台で幅広く活躍し、多彩な役柄と演技力で知られる人気俳優です。
B. 原広司
原広司は、日本のポストモダン建築を代表し、梅田スカイビルなど独創的な都市建築で知られる建築家です。
C. 伊藤英明
伊藤英明は、『海猿』シリーズなどで知られる日本の俳優です。
D. Kōji Yakusho
Kōji Yakusho is an acclaimed Japanese actor known for his versatile performances in both domestic cinema and international films such as "Shall We Dance?" and "13 Assassins."
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_69e0c4733f4081909a86622e7e6d15d2`	completed	April 16, 2026, 11:13 a.m.
NER	Named-entity recognition	`batch_69f077fede848190b8fe07941d6573d9`	completed	April 28, 2026, 9:03 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0a3e827ad88190869f3c4797c80891`	completed	May 17, 2026, 10:17 p.m.
NEDg	Description generation	`batch_6a0a3f4358d48190a88208a55d19a9ef`	completed	May 17, 2026, 10:20 p.m.
NED2	Entity disambiguation (via description)	`batch_6a0a404206e0819080c640619cd277ab`	completed	May 17, 2026, 10:25 p.m.

Created at: April 16, 2026, 6:53 p.m.