Triple

T20769341
Position Surface form Disambiguated ID Type / Status
Subject Julie Swagger E511182 entity
Predicate appearsIn P795 FINISHED
Object Shooter NE NERFINISHED

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: Shooter | Statement: [Julie Swagger, appearsIn, Shooter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shooter
Context triple: [Julie Swagger, appearsIn, Shooter]
  • A. Shooter chosen
    "Shooter" is a 2007 American action thriller film, based on Stephen Hunter's novel "Point of Impact," about a former Marine sniper framed for an assassination plot.
  • B. Shooter
    Shooter is the stage name of American country rock musician and producer Shooter Jennings, known for blending outlaw country with rock influences.
  • C. Shooter
    "Shooter" is a hip hop-influenced track by Robin Thicke, notable for its collaboration with rapper Lil Wayne and its blend of R&B and rap elements.
  • D. Shooter
    "Shooter" is a track from Lil Wayne's album *Tha Carter II*, known for its introspective lyrics and melodic, laid-back production.
  • E. Killshot
    Killshot is a crime novel by Elmore Leonard that follows a married couple targeted by a pair of hitmen, blending dark humor with tense, character-driven suspense.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24fa1b08190b09ab8fcb87b5c01 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:36 p.m.