Triple

T20387242
Position Surface form Disambiguated ID Type / Status
Subject Columbus (2017 film) E497990 entity
Predicate producer P490 FINISHED
Object Chris Weitz 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: Chris Weitz | Statement: [Columbus (2017 film), producer, Chris Weitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Weitz
Context triple: [Columbus (2017 film), producer, Chris Weitz]
  • A. Chris Weitz chosen
    Chris Weitz is an American filmmaker, screenwriter, and producer known for directing films such as "About a Boy" and "The Golden Compass" and for co-directing "American Pie."
  • B. Paul Weitz
    Paul Weitz is an American filmmaker, screenwriter, and producer known for co-directing "American Pie" and directing films such as "About a Boy" and "In Good Company."
  • C. Michael Cuesta
    Michael Cuesta is an American film and television director and producer known for his work on series such as Homeland, Dexter, and Six Feet Under.
  • D. Des McAnuff
    Des McAnuff is a Tony Award–winning Canadian-American director and producer best known for his work on major Broadway musicals such as "Jersey Boys" and "Big River."
  • E. Dan Gilroy
    Dan Gilroy is an American screenwriter and director best known for writing and directing the critically acclaimed film "Nightcrawler."
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790c935881908f901d058e6a83a9 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.