Triple

T16229088
Position Surface form Disambiguated ID Type / Status
Subject Halloween (2007 film) E393931 entity
Predicate producedBy P490 FINISHED
Object Andy Gould E832600 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: Andy Gould | Statement: [Halloween (2007 film), producedBy, Andy Gould]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Gould
Context triple: [Halloween (2007 film), producedBy, Andy Gould]
  • A. Andy Gould chosen
    Andy Gould is a film producer best known for his work on horror movies, including collaborations with director Rob Zombie.
  • B. Matt Gould
    Matt Gould is a musician and vocalist known for performing the opening theme of the television series "Turn: Washington's Spies."
  • C. Andy Goddard
    Andy Goddard is a British television director known for his work on series such as Doctor Who, Downton Abbey, and Broadchurch.
  • D. Andy Garvey
    Andy Garvey is a fictional character from the television series "Little House on the Prairie," known as the son of Jonathan and Alice Garvey and a friend of the Ingalls children.
  • E. Adam Gough
    Adam Gough is a British film editor known for his work on acclaimed films such as "Da 5 Bloods" and "Roma."
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2889688190ac04e4e9479cabf4 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025f740ec8190ab075c953e27cfba completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:03 a.m.