Triple

T10453909
Position Surface form Disambiguated ID Type / Status
Subject Synecdoche, New York E246501 entity
Predicate castMember P1668 FINISHED
Object Hope Davis E147511 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: Hope Davis | Statement: [Synecdoche, New York, castMember, Hope Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hope Davis
Context triple: [Synecdoche, New York, castMember, Hope Davis]
  • A. Hope Davis chosen
    Hope Davis is an American actress known for her nuanced performances in both independent films and mainstream movies, as well as acclaimed roles on television.
  • B. Stockard Channing
    Stockard Channing is an American actress best known for her roles as Rizzo in the film "Grease" and First Lady Abbey Bartlet on the television series "The West Wing."
  • C. Elizabeth Berkley
    Elizabeth Berkley is an American actress best known for her roles in the TV series "Saved by the Bell" and the film "Showgirls."
  • D. Cybill Shepherd
    Cybill Shepherd is an American actress and former model best known for her roles in films like "The Last Picture Show" and the TV series "Moonlighting."
  • E. Anne McDonnell
    Anne McDonnell was an American socialite best known as the first wife of industrialist Henry Ford II.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe0d73d48190acb687b96918e0cf completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbd966f0f08190a60ca3bcf0e08e98 completed April 12, 2026, 5:41 p.m.
Created at: April 6, 2026, 12:17 p.m.