Triple

T19455495
Position Surface form Disambiguated ID Type / Status
Subject Dark Star (1974 film) E486722 entity
Predicate cinematographyBy P1953 FINISHED
Object Douglas Knapp 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: Douglas Knapp | Statement: [Dark Star (1974 film), cinematographyBy, Douglas Knapp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douglas Knapp
Context triple: [Dark Star (1974 film), cinematographyBy, Douglas Knapp]
  • A. Douglas Knapp chosen
    Douglas Knapp was an American cinematographer best known for his collaborations with director John Carpenter on several influential genre films.
  • B. Martin Dougan
    Martin Dougan is a Scottish television presenter and former wheelchair basketball player best known for his work on the BBC children's news programme Newsround.
  • C. John Hough
    John Hough is a British film and television director best known for his work in horror and genre cinema during the 1970s and 1980s.
  • D. Douglas Brunt
    Douglas Brunt is an American novelist and former CEO of the cybersecurity firm Authentium, known also as the husband of journalist Megyn Kelly.
  • E. Dave Houghton
    Dave Houghton is a music producer known for his work on the album "Rain."
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c2b1108190b492ca23487b91f8 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.