Triple

T35007339
Position Surface form Disambiguated ID Type / Status
Subject Asia no Junshin E1009846 entity
Predicate producer P490 FINISHED
Object Tamio Okuda E2122240 NE FINISHED

How this triple was built (1 step)

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: Tamio Okuda | Statement: [Asia no Junshin, producer, Tamio Okuda]

Provenance (3 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_69f76dcb716881909f75e4fd60ab2284 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f784ed6e348190b5145d99ec721872 completed May 3, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37c627a654819092095d7f83e0b322 completed June 21, 2026, 11:08 a.m.
Created at: May 3, 2026, 4:01 p.m.