Triple

T21890880
Position Surface form Disambiguated ID Type / Status
Subject Bryan Bedford E540540 entity
Predicate hasMother P1909 FINISHED
Object Dorey Walker 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: Dorey Walker | Statement: [Bryan Bedford, hasMother, Dorey Walker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorey Walker
Context triple: [Bryan Bedford, hasMother, Dorey Walker]
  • A. Dorey Walker chosen
    Dorey Walker is the pragmatic, skeptical single mother and Macy’s executive in the 1994 film "Miracle on 34th Street," whose belief in Santa Claus and in miracles is gradually restored.
  • B. Jamie Walker
    Jamie Walker is a video game developer best known as a co-founder of Rocksteady Studios, the company behind the acclaimed Batman: Arkham series.
  • C. Vaun Wilmott
    Vaun Wilmott is a television writer and producer best known for creating the science fiction series "Dominion."
  • D. Jordan Walker-Pearlman
    Jordan Walker-Pearlman is an American film director, producer, and screenwriter known for his independent films and for being the nephew of actor Gene Wilder.
  • E. Leigh French
    Leigh French is an American actress and comedian best known for her work on the sketch comedy show "Rowan & Martin's Laugh-In" and roles in films and television during the 1960s and 1970s.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc2124c8190a79cf115a1d30283 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:06 p.m.