Triple

T7561273
Position Surface form Disambiguated ID Type / Status
Subject Non-Stop E178798 entity
Predicate editedBy P1954 FINISHED
Object Jim Page E351037 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: Jim Page | Statement: [Non-Stop, editedBy, Jim Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Page
Context triple: [Non-Stop, editedBy, Jim Page]
  • A. Jim Page chosen
    Jim Page is a film editor known for his work on the neo-noir black comedy crime film "Kiss Kiss Bang Bang."
  • B. David Gilroy Bevan
    David Gilroy Bevan was a British industrial chemist and academic known for his contributions to inorganic chemistry and crystallography.
  • C. Brian Morris
    Brian Morris is an American jurist who serves as the Chief Judge of the United States District Court for the District of Montana and is known for his federal judicial service in that state.
  • D. Tony Gibbs
    Tony Gibbs is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Gibbs.
  • E. Ian Watson
    Ian Watson is a British science fiction author known for his intellectually challenging novels and short stories that often explore complex philosophical and speculative ideas.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8f847c48190a1081aa9de7ff945 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856d0cbfc8190b2cb2b601a7b078c completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.