Triple

T3068019
Position Surface form Disambiguated ID Type / Status
Subject Megan Leavey E62152 entity
Predicate mainCharacter P1183 FINISHED
Object Megan Leavey E62152 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: Megan Leavey | Statement: [Megan Leavey, mainCharacter, Megan Leavey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Megan Leavey
Context triple: [Megan Leavey, mainCharacter, Megan Leavey]
  • A. Megan Leavey chosen
    Megan Leavey is a 2017 biographical war drama film about a U.S. Marine and her military working dog during the Iraq War.
  • B. Michael Murphy
    Michael Murphy is an American character actor known for his frequent collaborations with director Robert Altman and roles in films such as "Batman Returns," "Nashville," and "Manhattan."
  • C. Kara Kennedy
    Kara Kennedy was an American television producer and political activist, best known as the daughter of Senator Ted Kennedy and a member of the prominent Kennedy family.
  • D. Lauren Mara
    Lauren Mara is a member of the Mara family, known for its long-standing ownership and leadership of the New York Giants NFL franchise.
  • E. Yvette Marie Stevens
    Yvette Marie Stevens is the birth name of Chaka Khan, the iconic American singer known as the "Queen of Funk."
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fea06881909e5251eea26599ac completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef1972e08190942a068c0c563e52 completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.