Triple

T22172185
Position Surface form Disambiguated ID Type / Status
Subject The Shrike E547949 entity
Predicate castMember P1668 FINISHED
Object Joy Page 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: Joy Page | Statement: [The Shrike, castMember, Joy Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joy Page
Context triple: [The Shrike, castMember, Joy Page]
  • A. Joy Page chosen
    Joy Page was an American actress best known for her role as the young Bulgarian bride Annina Brandel in the classic film "Casablanca" (1942).
  • B. Mary Jane West
    Mary Jane West, better known as Mae West, was a legendary American actress, playwright, and sex symbol famed for her witty double entendres and bold persona in early Hollywood cinema and theater.
  • C. Maria Andrews
    Maria Andrews is an American woman known primarily as the wife of businessman Neil Bush, a member of the prominent Bush political family.
  • D. Janie Page
    Janie Page is a fictional character who is the daughter of Neal Page in the film "Planes, Trains and Automobiles."
  • E. Joy Morton
    Joy Morton was an American businessman and philanthropist best known as the founder of the Morton Salt Company and a major advocate for tree conservation and public arboreta.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a69c12c8190a03177b5b740456a completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.