Triple

T8563110
Position Surface form Disambiguated ID Type / Status
Subject Philip Kaufman E202735 entity
Predicate notableWork P4 FINISHED
Object Quills E62118 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: Quills | Statement: [Philip Kaufman, notableWork, Quills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quills
Context triple: [Philip Kaufman, notableWork, Quills]
  • A. Quills chosen
    Quills is a 2000 period drama film that fictionalizes the final years of the Marquis de Sade, featuring Geoffrey Rush in a critically acclaimed leading role.
  • B. Logorama
    Logorama is a 2009 French animated short film that satirically depicts a world made entirely of corporate logos and mascots.
  • C. Certified Copy
    Certified Copy is a 2010 art-house drama film directed by Abbas Kiarostami, featuring Juliette Binoche as a woman whose ambiguous relationship with a writer blurs the line between reality and performance.
  • D. Finding Forrester
    Finding Forrester is a 2000 drama film about a reclusive writer who mentors a gifted young student, directed by Gus Van Sant.
  • E. Blow
    Blow is a 2001 crime drama film that chronicles the rise and fall of American cocaine smuggler George Jung within the 1970s–1980s drug trade.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9cfc4a48190ae4530d3614d115f completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce895f91bc819099b1b2df59374403 completed April 2, 2026, 3:21 p.m.
Created at: March 30, 2026, 6:20 p.m.