Triple

T32476653
Position Surface form Disambiguated ID Type / Status
Subject Hayao Kawai E829992 entity
Predicate nativeName P15 FINISHED
Object 河合隼雄
河合隼雄は、日本におけるユング心理学の第一人者として知られる臨床心理学者であり、文化庁長官も務めた人物である。
E2007286 NE FINISHED

How this triple was built (2 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: 河合隼雄 | Statement: [Hayao Kawai, nativeName, 河合隼雄]
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: 河合隼雄
Triple: [Hayao Kawai, nativeName, 河合隼雄]
Generated description
河合隼雄は、日本におけるユング心理学の第一人者として知られる臨床心理学者であり、文化庁長官も務めた人物である。

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_69f3491ff3b48190b50a7fa00bb05b1f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c3925f5c8190b2cd06374266f5ba completed May 3, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34669dc0c88190aabe62cd4ddfc34a completed June 18, 2026, 9:43 p.m.
NEDg Description generation batch_6a34674302f081908ce094e58ee8360c completed June 18, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_6a34682ebe448190b88c760af0af9dfa completed June 18, 2026, 9:50 p.m.
Created at: May 1, 2026, 12:58 a.m.