Triple

T14943937
Position Surface form Disambiguated ID Type / Status
Subject Rich and Famous E372603 entity
Predicate screenwriter P2831 FINISHED
Object Gerald Ayres E878679 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: Gerald Ayres | Statement: [Rich and Famous, screenwriter, Gerald Ayres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerald Ayres
Context triple: [Rich and Famous, screenwriter, Gerald Ayres]
  • A. Gerald Ayres chosen
    Gerald Ayres was an American film producer and screenwriter known for his work on influential 1970s films, including collaborations with director Hal Ashby.
  • B. James Nava
    James Nava is a character in the crime drama series "Shades of Blue," involved in the show's complex world of law enforcement and corruption.
  • C. Delbert Mann
    Delbert Mann was an American film and television director best known for his Academy Award–winning work on the 1955 film "Marty" and for helping bring intimate, character-driven dramas from live television to the big screen.
  • D. Lloyd Taylor
    Lloyd Taylor was an architect known for designing Parliament House in Adelaide, South Australia.
  • E. Leo Hurwitz
    Leo Hurwitz was an American documentary filmmaker and cinematographer known for his socially conscious, politically engaged films and pioneering work in the documentary movement of the mid-20th century.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68d20048190a403af85fe43dede completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968d71dc81909b76551f9cd9ebab completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:38 a.m.