Triple

T13882232
Position Surface form Disambiguated ID Type / Status
Subject State Fair (1933 film) E333746 entity
Predicate producer P490 FINISHED
Object William Goetz E303028 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: William Goetz | Statement: [State Fair (1933 film), producer, William Goetz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Goetz
Context triple: [State Fair (1933 film), producer, 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. George Juergens
    George Juergens is a central character on the teen drama series "The Secret Life of the American Teenager," known as the quirky, overprotective father navigating family turmoil and teenage pregnancy.
  • E. Richard Riehle
    Richard Riehle is an American character actor known for his prolific work in film and television, including memorable roles in movies like "Office Space" and numerous guest appearances on popular TV series.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be8566881908b8902e3cd567669 completed April 14, 2026, 9:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbb445a48190ba3dafb1f076ac83 completed May 10, 2026, 1:13 a.m.
Created at: April 9, 2026, 10:15 p.m.