Triple

T17523910
Position Surface form Disambiguated ID Type / Status
Subject Kagemusha E426744 entity
Predicate castMember P1668 FINISHED
Object Masayuki Yui 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: Masayuki Yui | Statement: [Kagemusha, castMember, Masayuki Yui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masayuki Yui
Context triple: [Kagemusha, castMember, Masayuki Yui]
  • A. Masayuki Yui chosen
    Masayuki Yui is a Japanese actor known for his role in Akira Kurosawa’s epic film "Ran" and for his work in both cinema and television.
  • B. Yuka Kashino
    Yuka Kashino is a Japanese singer and dancer best known as a member of the technopop girl group Perfume.
  • C. Shigeko Yuki
    Shigeko Yuki was a Japanese novelist and short story writer known for her psychologically nuanced portrayals of women’s lives in mid-20th-century Japan.
  • D. Chieko Mori
    Chieko Mori is a Japanese woman best known as the wife of former Prime Minister Yoshirō Mori.
  • E. Gotō Yūko
    Gotō Yūko was a Japanese voice actress known for her roles in popular anime series such as "Hidamari Sketch" and "Pani Poni Dash!".
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d4db60819096a03dbc4254850f completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.