Triple

T18099056
Position Surface form Disambiguated ID Type / Status
Subject Twentieth Century Pictures E433166 entity
Predicate foundedBy P104 FINISHED
Object William Goetz 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: William Goetz | Statement: [Twentieth Century Pictures, foundedBy, William Goetz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Goetz
Context triple: [Twentieth Century Pictures, foundedBy, William Goetz]
  • A. William Goetz chosen
    William Goetz was an American film producer and studio executive who co-founded International Pictures and later served as president of Universal-International during Hollywood’s studio era.
  • B. Peter Michael Goetz
    Peter Michael Goetz is an American character actor known for his extensive work in film, television, and theater since the late 20th century.
  • C. William Diehl
    William Diehl was an American novelist best known for his gritty, suspenseful legal and crime thrillers.
  • D. Robert Watzke
    Robert Watzke is an American editor and filmmaker best known for his work in film and television and for being married to actress Helen Slater.
  • E. John Daheim
    John Daheim was an American character actor who appeared in numerous film and television productions during the mid-20th century.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb521448190b97d2b2aa7e4d7e6 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:27 a.m.