Triple

T12120521
Position Surface form Disambiguated ID Type / Status
Subject Lord of War E288680 entity
Predicate starring P1507 FINISHED
Object Bridget Moynahan E57512 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: Bridget Moynahan | Statement: [Lord of War, starring, Bridget Moynahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridget Moynahan
Context triple: [Lord of War, starring, Bridget Moynahan]
  • A. Bridget Moynahan chosen
    Bridget Moynahan is an American actress and model best known for her roles in films like "Coyote Ugly" and "I, Robot" and the TV series "Blue Bloods."
  • B. Caitlin Leahy
    Caitlin Leahy is an American actress and model known for her roles in film and television, including appearances in action and drama projects.
  • C. Nancy O’Malley
    Nancy O’Malley is an American prosecutor known for serving as the elected District Attorney of Alameda County, California, and for her work on criminal justice reform and victim advocacy.
  • D. Caitlin FitzGerald
    Caitlin FitzGerald is an American actress best known for her role as Libby Masters on the television drama series "Masters of Sex."
  • E. Michelle Flaherty
    Michelle Flaherty is a central comedic character in the American Pie film series, known for her quirky, enthusiastic personality and memorable one-liners.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91577a03c81909add7a5d7324a648 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0d2818c8190a1bea5f1fc8a9f59 completed May 3, 2026, 3:28 a.m.
Created at: April 8, 2026, 9:49 p.m.