Triple

T523894
Position Surface form Disambiguated ID Type / Status
Subject John Wick: Chapter 2 E10875 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: [John Wick: Chapter 2, starring, Bridget Moynahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridget Moynahan
Context triple: [John Wick: Chapter 2, 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. Bridget O’Connor
    Bridget O’Connor was a British screenwriter and playwright best known for co-writing the acclaimed adaptation of John le Carré’s Tinker Tailor Soldier Spy (2011).
  • C. Janel Moloney
    Janel Moloney is an American actress best known for her role as Donna Moss on the political drama television series "The West Wing."
  • D. Mary Quinn Sullivan
    Mary Quinn Sullivan was an American art collector and patron who played a key role in the early promotion and institutional support of modern art in the United States.
  • E. Erin McDermott
    Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b656c08190b387f21b06d99e68 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac256ee108819096092bbce2e54df5 completed March 7, 2026, 1:17 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.