Triple

T22654274
Position Surface form Disambiguated ID Type / Status
Subject Stealing Fire E559181 entity
Predicate producer P490 FINISHED
Object Jon Goldsmith NE NERFINISHED

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: Jon Goldsmith | Statement: [Stealing Fire, producer, Jon Goldsmith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Goldsmith
Context triple: [Stealing Fire, producer, Jon Goldsmith]
  • A. Jonathan Goldsmith chosen
    Jonathan Goldsmith is a Canadian composer best known for his film and television scores.
  • B. Jonathan Goldsmith
    Jonathan Goldsmith is an American actor best known for playing the charismatic, bearded spokesman in Dos Equis beer commercials as “The Most Interesting Man in the World.”
  • C. Joel Goldsmith
    Joel Goldsmith was an American composer best known for his work on film and television scores, including the Stargate franchise.
  • D. Gary Goldman
    Gary Goldman is an American screenwriter best known for his work on major science fiction and action films, including the 1990 movie "Total Recall."
  • E. Gary Goldman
    Gary Goldman is an American animator, director, and producer best known for his work on Don Bluth–style animated films such as Anastasia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765a97ac819095f21ccbdada1d0a completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:06 p.m.