Triple

T7890673

Position	Surface form	Disambiguated ID	Type / Status
Subject	Hikari Ōe	`E183224`	entity
Predicate	nativeName	`P15`	FINISHED
Object	大江光大江光 is a Japanese composer known for his piano works and for being the son of Nobel Prize–winning author Kenzaburō Ōe.	`E696410`	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: 大江 光 | Statement: [Hikari Ōe, nativeName, 大江 光]

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

Target entity: 大江 光
Context triple: [Hikari Ōe, nativeName, 大江 光]

A. 井深大
井深大は、ソニー株式会社の共同創業者として知られる日本の実業家・技術者です。
B. 米内光政
米内光政は、昭和期の日本で海軍大臣や内閣総理大臣を務め、日中戦争・太平洋戦争期の海軍指導者として知られる政治家・海軍軍人である。
C. 天河
天河是中国广东省广州市的一个重要市辖区，以其现代化的城市景观和繁华的商业中心而闻名。
D. 富春江
富春江是中国浙江省境内一条以秀丽山水风光和人文景观著称的重要河流与旅游胜地。
E. 南次郎
南次郎（Jirō Minami）は、日中戦争期に朝鮮総督などを務めた日本の陸軍軍人・政治家です。
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: 大江 光
Triple: [Hikari Ōe, nativeName, 大江 光]

Generated description

大江 光 is a Japanese composer known for his piano works and for being the son of Nobel Prize–winning author Kenzaburō Ōe.

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

Target entity: 大江 光
Target entity description: 大江 光 is a Japanese composer known for his piano works and for being the son of Nobel Prize–winning author Kenzaburō Ōe.

A. 井深大
井深大は、ソニー株式会社の共同創業者として知られる日本の実業家・技術者です。
B. 米内光政
米内光政は、昭和期の日本で海軍大臣や内閣総理大臣を務め、日中戦争・太平洋戦争期の海軍指導者として知られる政治家・海軍軍人である。
C. 天河
天河是中国广东省广州市的一个重要市辖区，以其现代化的城市景观和繁华的商业中心而闻名。
D. 富春江
富春江是中国浙江省境内一条以秀丽山水风光和人文景观著称的重要河流与旅游胜地。
E. 南次郎
南次郎（Jirō Minami）は、日中戦争期に朝鮮総督などを務めた日本の陸軍軍人・政治家です。
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_69ca828c474c8190a254d6499871eaff`	completed	March 30, 2026, 2:02 p.m.
NER	Named-entity recognition	`batch_69cb39ee137081908e87e35016c3a176`	completed	March 31, 2026, 3:05 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69cb5b9f47cc8190a6f9fc087010ad96`	completed	March 31, 2026, 5:29 a.m.
NEDg	Description generation	`batch_69cb5df0287881908bce1a4449e9f252`	completed	March 31, 2026, 5:38 a.m.
NED2	Entity disambiguation (via description)	`batch_69cb769944d08190ba8c2f5fe76e037b`	completed	March 31, 2026, 7:24 a.m.

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