Triple

T16105916
Position Surface form Disambiguated ID Type / Status
Subject Chan Is Missing E390737 entity
Predicate castMember P1668 FINISHED
Object Marc Hayashi E1197541 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: Marc Hayashi | Statement: [Chan Is Missing, castMember, Marc Hayashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Hayashi
Context triple: [Chan Is Missing, castMember, Marc Hayashi]
  • A. Marc Hayashi chosen
    Marc Hayashi is an American actor best known for his prominent role in the influential Asian American independent film "Chan Is Missing."
  • B. Mark Yoshikawa
    Mark Yoshikawa is a film editor best known for his work on major Hollywood productions, including the final installment of The Hunger Games series.
  • C. Michael Shiosaki
    Michael Shiosaki is an American parks and recreation professional who is publicly known as the husband of former Seattle mayor Ed Murray.
  • D. Rene Ohashi
    Rene Ohashi is an award-winning Canadian cinematographer known for his work on numerous films and television productions, including the acclaimed miniseries "Life with Judy Garland: Me and My Shadows."
  • E. Danny Fujikawa
    Danny Fujikawa is an American musician and record label co-founder best known as the partner of actress Kate Hudson.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6d81d081909e1315f4dbfd7369 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00077efdf48190ac26f433f6b17dbe completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5 a.m.