Triple

T15964666
Position Surface form Disambiguated ID Type / Status
Subject Michael Shamberg E387152 entity
Predicate producerOf P490 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: [Michael Shamberg, producerOf, Get Shorty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Get Shorty
Context triple: [Michael Shamberg, producerOf, 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572475948190af0e3b12de0f6cea completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c5a7d48190891e69314e67e9af completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.