Triple

T14534853
Position Surface form Disambiguated ID Type / Status
Subject Daniel Petrie Jr. E341015 entity
Predicate notableWork P4 FINISHED
Object Shoot to Kill E600681 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: Shoot to Kill | Statement: [Daniel Petrie Jr., notableWork, Shoot to Kill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shoot to Kill
Context triple: [Daniel Petrie Jr., notableWork, Shoot to Kill]
  • A. Shoot to Kill chosen
    Shoot to Kill is a 1988 American thriller film about an FBI agent and a mountain guide tracking a murderous criminal through the wilderness.
  • B. Dead Shot
    Dead Shot is a character or component within the "Demons Protected by Angels" universe, likely representing a lethal, precision-focused figure central to its darker, action-oriented themes.
  • C. 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.
  • D. The Shooting
    The Shooting is a 1966 existential Western film directed by Monte Hellman, noted for its minimalist style, ambiguous narrative, and cult status among cinephiles.
  • E. Great Kills
    Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1b9d39881908c7a3a5b17d432af completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab414dc8190a233185068cfb8ff completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:22 a.m.