Triple

T17073313
Position Surface form Disambiguated ID Type / Status
Subject Susan Kohner E414276 entity
Predicate child P120 FINISHED
Object Chris Weitz E63415 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: Chris Weitz | Statement: [Susan Kohner, child, Chris Weitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Weitz
Context triple: [Susan Kohner, child, 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 (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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc28fec81909c39d432094d9cdd completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ede108881909ddd0455be53ffac completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.