Triple

T5317354
Position Surface form Disambiguated ID Type / Status
Subject Emma (1996 film) E121582 entity
Predicate editedBy P1954 FINISHED
Object David Gamble E69544 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 Gamble | Statement: [Emma (1996 film), editedBy, David Gamble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Gamble
Context triple: [Emma (1996 film), editedBy, David Gamble]
  • A. David Gamble chosen
    David Gamble is a film editor best known for his work on the Academy Award–winning romantic comedy-drama "Shakespeare in Love."
  • B. Corey Gamble
    Corey Gamble is an American talent manager and television personality best known for his long-term relationship with Kris Jenner and frequent appearances on "Keeping Up with the Kardashians."
  • C. Mick Rogers
    Mick Rogers is an Australian former professional road cyclist known for his time-trialling strength and multiple world championship titles in the team time trial.
  • D. Ron Torbert
    Ron Torbert is an American NFL official who has served as a referee in multiple high-profile games, including Super Bowl LVI.
  • E. Phil Garner
    Phil Garner is a former Major League Baseball second baseman and manager, best known for leading the Houston Astros to their first World Series appearance in 2005.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd854fd07c8190b4f1c3c8e618c308 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf188d3a2c8190ad06d1b71ef73780 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:59 p.m.