Triple

T33922930
Position Surface form Disambiguated ID Type / Status
Subject 鮎川義介 E869664 entity
Predicate alternateName P39 FINISHED
Object 吉川義介
吉川義介（鮎川義介）は、日産コンツェルンを築き上げた日本の実業家であり、自動車産業発展に大きな影響を与えた人物である。
 E2074682 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: 吉川義介 | Statement: [鮎川義介, alternateName, 吉川義介]
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: 吉川義介
Triple: [鮎川義介, alternateName, 吉川義介]
Generated description
吉川義介（鮎川義介）は、日産コンツェルンを築き上げた日本の実業家であり、自動車産業発展に大きな影響を与えた人物である。

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_69f349992c508190aa4afa24a086cc8c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f701ee256881909623d25a2590a5c9 completed May 3, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3689cf620881908c82a2c10973e774 completed June 20, 2026, 12:38 p.m.
NEDg Description generation batch_6a368a5f070c81909a5d0e8f4ac5ad2e completed June 20, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_6a368b17fd848190be803db49a0ef089 completed June 20, 2026, 12:44 p.m.
Created at: May 1, 2026, 1:49 a.m.