Triple

T3309874
Position Surface form Disambiguated ID Type / Status
Subject Shakespeare in Love E69544 entity
Predicate hasEditor 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: [Shakespeare in Love, hasEditor, David Gamble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Gamble
Context triple: [Shakespeare in Love, hasEditor, 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. Gary Morris
    Gary Morris is an American country music artist best known for his rich tenor voice and a string of hits in the 1980s, including his acclaimed rendition of “Wind Beneath My Wings.”
  • E. Tom Bell
    Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0eb6dd08190bab1ce80f417966a completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3f0d52081908bbade5e514f17d1 completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.