Triple

T32641173
Position Surface form Disambiguated ID Type / Status
Subject Chara E834482 entity
Predicate nativeName P15 FINISHED
Object 渡辺美和
渡辺美和は、日本の作品に登場するキャラクター「Chara」の日本語表記名として知られる人物名である。
 E2013899 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: 渡辺美和 | Statement: [Chara, nativeName, 渡辺美和]
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: 渡辺美和
Triple: [Chara, nativeName, 渡辺美和]
Generated description
渡辺美和は、日本の作品に登場するキャラクター「Chara」の日本語表記名として知られる人物名である。

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_69f3492e773c81908afc10651e46cad3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c74dcb20819093e705d8e9c9de95 completed May 3, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34862f9abc8190a42792afd49290e8 completed June 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a348702a3cc81909b4eeedc50d03061 completed June 19, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a3487bf3eb88190bc41cbcf4f7cc24a completed June 19, 2026, 12:05 a.m.
Created at: May 1, 2026, 1:07 a.m.