Triple

T16275103
Position Surface form Disambiguated ID Type / Status
Subject Tamra Davis E395103 entity
Predicate notableWork P4 FINISHED
Object Gun Crazy E1204650 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: Gun Crazy | Statement: [Tamra Davis, notableWork, Gun Crazy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gun Crazy
Context triple: [Tamra Davis, notableWork, Gun Crazy]
  • A. Gun Crazy chosen
    Gun Crazy is a 1992 American crime thriller film about a troubled teenage girl drawn into a violent relationship and a series of crimes.
  • B. Gun Crazy
    Gun Crazy is a 1950 American film noir crime drama, famed for its stylish direction and psychologically intense story of a gun-obsessed couple on a crime spree.
  • C. Violent Saturday
    Violent Saturday is a 1955 American film noir crime drama directed by Richard Fleischer that centers on a small town shaken by a meticulously planned bank robbery and the intersecting lives of its residents.
  • D. The Murder Men
    The Murder Men is a crime drama film featuring Peter Mark Richman in a prominent role.
  • E. Jane Got a Gun
    Jane Got a Gun is a 2015 American Western action drama film starring Natalie Portman as a frontier woman who must defend her family from a violent gang.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460d30608190a721aa845fcf7cf6 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f90d4088190915d701978f018a5 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:05 a.m.