Triple

T20297829
Position Surface form Disambiguated ID Type / Status
Subject Ophelia (2018 film) E505398 entity
Predicate producer P490 FINISHED
Object Daniel Bobker 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: Daniel Bobker | Statement: [Ophelia (2018 film), producer, Daniel Bobker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Bobker
Context triple: [Ophelia (2018 film), producer, Daniel Bobker]
  • A. Daniel Bobker chosen
    Daniel Bobker is a film producer known for his work on genre and fantasy projects, including the movie "The Brothers Grimm."
  • B. Jeremy Shamos
    Jeremy Shamos is an American stage and screen actor known for his work on Broadway and in film and television.
  • C. Jonathan Rothberg
    Jonathan Rothberg is an American scientist, inventor, and entrepreneur best known for pioneering next-generation DNA sequencing technologies and founding multiple genomics companies.
  • D. Philip Chosky
    Philip Chosky was a philanthropist and benefactor known for his significant support of the arts, particularly theater.
  • E. Jonathan Meiburg
    Jonathan Meiburg is an American musician, writer, and ornithologist best known as the frontman of the band Shearwater and for his atmospheric, nature-inspired indie rock.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677095fb481909806214da4002b59 completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:16 a.m.