Triple

T21933665
Position Surface form Disambiguated ID Type / Status
Subject The Death of Truth E541633 entity
Predicate author P4 FINISHED
Object Michiko Kakutani 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: Michiko Kakutani | Statement: [The Death of Truth, author, Michiko Kakutani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michiko Kakutani
Context triple: [The Death of Truth, author, Michiko Kakutani]
  • A. Michiko Kakutani chosen
    Michiko Kakutani is an influential American literary critic best known for her long tenure as chief book critic for The New York Times.
  • B. Paul Genzlinger
    Paul Genzlinger is a mild-mannered, somewhat awkward music teacher who briefly dates Jessica Day on the TV sitcom "New Girl."
  • C. Maggie Kirkpatrick
    Maggie Kirkpatrick is an Australian actress best known for her roles in film and television, particularly as the villainous prison officer Joan "The Freak" Ferguson in the TV series "Prisoner."
  • D. Richard Brody
    Richard Brody is an American film critic and author best known for his work at The New Yorker and his writings on French cinema, particularly Jean-Luc Godard.
  • E. Michael Kimmelman
    Michael Kimmelman is an American architecture critic and journalist best known for his work at The New York Times.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12400a1248190b3f8f27f2aa4a858 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:47 p.m.