Triple

T19359166
Position Surface form Disambiguated ID Type / Status
Subject Holiday for Lovers E484229 entity
Predicate hasPerformer P5936 FINISHED
Object Carol Lynley 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: Carol Lynley | Statement: [Holiday for Lovers, hasPerformer, Carol Lynley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carol Lynley
Context triple: [Holiday for Lovers, hasPerformer, Carol Lynley]
  • A. Carol Lynley chosen
    Carol Lynley was an American actress and former child model best known for her roles in films of the 1960s and 1970s, including "The Poseidon Adventure."
  • B. Shirley Hayden
    Shirley Hayden is a musician best known as a member of Kid Rock’s backing band, Twisted Brown Trucker.
  • C. Lynn Garland
    Lynn Garland is the wife of U.S. Attorney General and former Supreme Court nominee Merrick Garland and is known for her work in public service and community engagement.
  • D. Judith Ivey
    Judith Ivey is an American actress and director known for her Tony Award–winning stage performances and numerous roles in film and television.
  • E. Anna Massey
    Anna Massey was an acclaimed English actress known for her nuanced performances in film, television, and theatre, including notable roles in psychological dramas and literary adaptations.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190b343c81909734ba776fd196dc completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.