Triple

T13728252
Position Surface form Disambiguated ID Type / Status
Subject A Bronx Tale E329721 entity
Predicate editor P1954 FINISHED
Object David Ray E875896 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: David Ray | Statement: [A Bronx Tale, editor, David Ray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Ray
Context triple: [A Bronx Tale, editor, David Ray]
  • A. David Ray chosen
    David Ray is a film editor best known for his work on the crime drama classic "Scarface."
  • B. David Ray Roberts
    David Ray Roberts is a former Major League Baseball outfielder and current manager, best known for his pivotal stolen base in the 2004 ALCS with the Boston Red Sox and for managing the Los Angeles Dodgers.
  • C. Duane Denison
    Duane Denison is an American guitarist best known for his innovative, angular playing style in the influential noise rock band The Jesus Lizard and later work with acts like Tomahawk.
  • D. David Dill
    David Dill is an American computer scientist known for his influential work in formal verification, model checking, and hardware verification.
  • E. Roy Bowers
    Roy Bowers, better known by his craft name Robert Cochrane, was a prominent 20th-century English witch and influential figure in the development of modern traditional witchcraft.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f746cc8190abde237bbb7e6c78 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a84c02e08190b8ef620575157c14 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:55 p.m.