Triple

T22767834
Position Surface form Disambiguated ID Type / Status
Subject Mishima: A Life in Four Chapters E563174 entity
Predicate screenwriter P2831 FINISHED
Object Chieko Schrader 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: Chieko Schrader | Statement: [Mishima: A Life in Four Chapters, screenwriter, Chieko Schrader]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chieko Schrader
Context triple: [Mishima: A Life in Four Chapters, screenwriter, Chieko Schrader]
  • A. Chieko Schrader chosen
    Chieko Schrader is the wife of American screenwriter and director Leonard Schrader, known primarily in relation to his personal life.
  • B. Yukiko Hoffman
    Yukiko Hoffman is a member of the organization or group known as Mobius.
  • C. Karin Morisaki
    Karin Morisaki is a Japanese Paralympian best known for lighting the cauldron at the Tokyo 2020 Paralympic Games opening ceremony.
  • D. Mieko Harada
    Mieko Harada is a Japanese actress best known internationally for her intense portrayal of Lady Kaede in Akira Kurosawa’s epic film "Ran."
  • E. Chieko Nakakita
    Chieko Nakakita was a Japanese actress known for her roles in mid-20th-century Japanese cinema, including collaborations with prominent directors such as Akira Kurosawa.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a81d3348190b005a43a5e03d406 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:27 p.m.