Triple

T18437933
Position Surface form Disambiguated ID Type / Status
Subject Kōichi Shiota E450441 entity
Predicate givenName P17 FINISHED
Object Kōichi NE NERFINISHED

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: Kōichi | Statement: [Kōichi Shiota, givenName, Kōichi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kōichi
Context triple: [Kōichi Shiota, givenName, Kōichi]
  • A. Koichi chosen
    Koichi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, politics, and entertainment.
  • B. Kunihiko
    Kunihiko is a Japanese masculine given name commonly borne by notable figures in fields such as mathematics, animation, and the arts.
  • C. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • D. Toshiaki
    Toshiaki is a Japanese masculine given name commonly used for men and boys in Japan.
  • E. Yojiro
    Yojiro is a Japanese given name commonly used for males.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c0e04508190bc851a8954ae60e8 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:29 a.m.