Triple

T22946911
Position Surface form Disambiguated ID Type / Status
Subject Duma E569897 entity
Predicate castMember P1668 FINISHED
Object Hope Davis 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: Hope Davis | Statement: [Duma, castMember, Hope Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hope Davis
Context triple: [Duma, 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. Melissa Fitzgerald
    Melissa Fitzgerald is an American actress and social activist best known for her role as Carol Fitzpatrick on the television series "The West Wing" and for her leadership work with the nonprofit Justice For Vets.
  • C. Kelly Rutherford
    Kelly Rutherford is an American actress best known for her roles on television series such as "Melrose Place" and "Gossip Girl."
  • D. 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."
  • E. 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."
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819e559c81909e63acfc23f9476b completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.