Triple

T14397597
Position Surface form Disambiguated ID Type / Status
Subject Short Circuit E356989 entity
Predicate producer P490 FINISHED
Object Lawrence Turman E243062 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: Lawrence Turman | Statement: [Short Circuit, producer, Lawrence Turman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence Turman
Context triple: [Short Circuit, producer, Lawrence Turman]
  • A. Lawrence Turman chosen
    Lawrence Turman is an American film producer best known for his work on influential Hollywood films and for his long career shaping and mentoring talent in the movie industry.
  • B. Delmer Ennis
    Delmer "Del" Ennis was an American Major League Baseball outfielder best known as a power hitter for the Philadelphia Phillies in the 1940s and 1950s.
  • C. Melville Shyer
    Melville Shyer was an American film director, producer, and assistant director active in early Hollywood cinema.
  • D. Milton Berlinger
    Milton Berlinger, better known by his stage name Milton Berle, was a pioneering American comedian and actor who became one of television’s first major stars.
  • E. Leonard Schrader
    Leonard Schrader was an American screenwriter and director known for his collaborations with his brother Paul Schrader and for writing acclaimed films such as "Kiss of the Spider Woman."
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551cbdb08190a9ea53e607f2555b completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.