Triple

T12225106
Position Surface form Disambiguated ID Type / Status
Subject Time Changer E291328 entity
Predicate producer P490 FINISHED
Object Kevin Downes E1001436 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: Kevin Downes | Statement: [Time Changer, producer, Kevin Downes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Downes
Context triple: [Time Changer, producer, Kevin Downes]
  • A. Kevin Downes chosen
    Kevin Downes is an American Christian film producer, actor, and filmmaker known for his work on faith-based movies such as "Courageous" and "I Still Believe."
  • B. Gary Downie
    Gary Downie was a Scottish production manager best known for his work on the BBC science-fiction series "Doctor Who" during the 1980s.
  • C. Greg Mathieson
    Greg Mathieson is an American keyboardist, composer, and producer known for his work in jazz, fusion, and pop music, collaborating with numerous prominent artists.
  • D. Juan Downey
    Juan Downey was a Chilean video and conceptual artist known for his pioneering work in interactive video, performance, and media art that explored identity, technology, and Latin American culture.
  • E. Colin Blakely
    Colin Blakely was a Northern Irish character actor known for his powerful stage work and memorable supporting roles in British and international films of the 1960s–1980s.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca11f788190bad2efb6c83ffccb completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68e9fc934819089f68bcc823015da completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:51 p.m.