Triple

T14854581
Position Surface form Disambiguated ID Type / Status
Subject Adventureland E349318 entity
Predicate editedBy P1954 FINISHED
Object Anne McCabe E151911 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: Anne McCabe | Statement: [Adventureland, editedBy, Anne McCabe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne McCabe
Context triple: [Adventureland, 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. 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."
  • E. Lesley Egan
    Lesley Egan was a British-born American mystery writer best known for her crime and detective novels, often published under multiple pseudonyms.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44318f0819080b6c599f2d3474f completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe65087708819084f51a043e5361e9 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.