Triple

T14657533
Position Surface form Disambiguated ID Type / Status
Subject Jersey Films E344147 entity
Predicate notableWork P4 FINISHED
Object Get Shorty E344122 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: Get Shorty | Statement: [Jersey Films, notableWork, Get Shorty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Get Shorty
Context triple: [Jersey Films, notableWork, Get Shorty]
  • A. Get Shorty
    Get Shorty is a 1995 crime-comedy film, based on Elmore Leonard’s novel, that follows a Miami loan shark navigating Hollywood’s movie business.
  • B. Get Shorty (film) chosen
    Get Shorty (film) is a 1995 crime-comedy movie about a smooth-talking loan shark navigating Hollywood, based on Elmore Leonard’s novel of the same name.
  • C. Get Shorty (novel)
    Get Shorty (novel) is a 1990 crime-comedy book by Elmore Leonard that follows a small-time Miami loan shark who becomes entangled with Hollywood movie producers while trying to collect a debt.
  • D. Shorty
    Shorty is a lesser-known musical act connected to the experimental rock band U.S. Maple, likely sharing its avant-garde, noise-influenced style.
  • E. Getlink
    Getlink is a French-based company that owns and operates the infrastructure of the Channel Tunnel rail link between the United Kingdom and continental Europe.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51a562c819098971447db4b29f7 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde175db5881908f88d2b3fd72bb52 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.