Triple

T21256407
Position Surface form Disambiguated ID Type / Status
Subject Dan Talbot E523880 entity
Predicate notableWork P4 FINISHED
Object New Yorker Films 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: New Yorker Films | Statement: [Dan Talbot, notableWork, New Yorker Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Yorker Films
Context triple: [Dan Talbot, notableWork, New Yorker Films]
  • A. New Yorker Films chosen
    New Yorker Films is an American film distribution company known for bringing international, independent, and art-house cinema to U.S. audiences.
  • B. Brooklyn Films
    Brooklyn Films is a film production company best known for producing the retro-futuristic adventure movie "Sky Captain and the World of Tomorrow."
  • C. Washington Square Films
    Washington Square Films is an American independent film production company known for backing critically acclaimed, character-driven movies.
  • D. Beyond Films
    Beyond Films is an Australian film distribution and production company known for handling a range of independent and international titles.
  • E. The New Yorker (various short films)
    The New Yorker (various short films) is a collection of short cinematic pieces produced under the banner of The New Yorker, often adapting or reflecting the magazine’s distinctive literary and journalistic style in film form.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a1f9e08190b494f582bcae5c35 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:58 p.m.