Triple

T12996932
Position Surface form Disambiguated ID Type / Status
Subject Rex E322062 entity
Predicate partnerOf P1136 FINISHED
Object Megan Leavey E324424 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: [Rex, partnerOf, Megan Leavey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Megan Leavey
Context triple: [Rex, partnerOf, Megan Leavey]
  • A. Megan Leavey
    Megan Leavey is a 2017 biographical war drama film about a U.S. Marine and her military working dog during the Iraq War.
  • B. Megan Leavey (person) chosen
    Megan Leavey is a former U.S. Marine corporal best known for her combat service in Iraq as a military dog handler and for her efforts to adopt her bomb-sniffing dog, Rex, after their service together.
  • C. Rachel Luttrell
    Rachel Luttrell is a Canadian-Tanzanian actress best known for playing Teyla Emmagan on the science fiction television series Stargate Atlantis.
  • D. Kelly Lynch
    Kelly Lynch is an American actress known for her roles in films such as "Drugstore Cowboy," "Road House," and various television series.
  • E. Mary Luttrell
    Mary Luttrell was an English gentlewoman of the late 17th to early 18th century, best known as the wife of Admiral Sir George Rooke, a prominent Royal Navy commander during the War of the Spanish Succession.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7980288190a9fe629a8cc76a52 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a1ee5d08190ace265c5f15d8d30 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 8:45 p.m.