Triple

T21524434
Position Surface form Disambiguated ID Type / Status
Subject The Daytrippers E531057 entity
Predicate editedBy P1954 FINISHED
Object Anne McCabe 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: Anne McCabe | Statement: [The Daytrippers, editedBy, Anne McCabe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne McCabe
Context triple: [The Daytrippers, editedBy, Anne McCabe]
  • A. Anne McCabe chosen
    Anne McCabe is a film editor known for her work on major feature films and television projects, including the Fred Rogers-inspired drama "A Beautiful Day in the Neighborhood."
  • B. Maureen McTeer
    Maureen McTeer is a Canadian lawyer, author, and advocate for women's rights and health policy, known in part for maintaining her professional identity during and after her marriage to former Prime Minister Joe Clark.
  • C. Ruth McCabe
    Ruth McCabe is an Irish actress known for her work in film, television, and theatre, including roles in acclaimed dramas such as "Philomena."
  • D. Diane McBain
    Diane McBain was an American actress best known for her work in 1960s film and television, including prominent roles in Warner Bros. productions.
  • E. Kathryn Prescott
    Kathryn Prescott is an English actress best known for her roles in the TV series "Skins" and the film "A Dog’s Journey."
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884f4504819086bd632e62f02f58 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.