Triple

T15294503
Position Surface form Disambiguated ID Type / Status
Subject Twin Peaks: Fire Walk with Me E365617 entity
Predicate editor P1954 FINISHED
Object Mary Sweeney E1178691 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: Mary Sweeney | Statement: [Twin Peaks: Fire Walk with Me, editor, Mary Sweeney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Sweeney
Context triple: [Twin Peaks: Fire Walk with Me, editor, Mary Sweeney]
  • A. Mary Sweeney chosen
    Mary Sweeney is an American film editor, producer, and writer best known for her long-time collaboration with director David Lynch on projects such as "Lost Highway" and "Mulholland Drive."
  • B. Maureen Sweeney
    Maureen Sweeney is an Irish woman best known for her crucial World War II weather observations that influenced the timing of the D-Day landings.
  • C. Ann Sweeny
    Ann Sweeny is best known as the wife of acclaimed American television producer, director, and writer Gene Reynolds.
  • D. Sarah Sweeney
    Sarah Sweeney is an actress known for her role in the historical drama television series "The Bastard Executioner."
  • E. Sarah O’Meara
    Sarah O’Meara is known as the spouse of Australian film director Paul Cox.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03682ea488190ac82fdbd0e855d34 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0139e10e94819092b71606dbe4f5d5 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 3:15 a.m.