Triple

T20313065
Position Surface form Disambiguated ID Type / Status
Subject Peter Rabbit (2018 film) E510303 entity
Predicate voiceActor P1507 FINISHED
Object Rachel Ward E718911 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: Rachel Ward | Statement: [Peter Rabbit (2018 film), voiceActor, Rachel Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Ward
Context triple: [Peter Rabbit (2018 film), voiceActor, Rachel Ward]
  • A. Rachel Ward
    Rachel Ward is a mathematician known for her influential research in applied and computational mathematics, including work in areas such as optimization and data science.
  • B. Rachel Ward chosen
    Rachel Ward is an English-Australian actress and director best known for her role in the television miniseries "The Thorn Birds."
  • C. Sarah Ward
    Sarah Ward was the wife of American Civil War Confederate general and later New York City street commissioner Gustavus W. Smith.
  • D. Sarah Ward
    Sarah Ward is a British producer and the former wife of actor Tom Hardy.
  • E. Sarah Ward
    Sarah Ward is the birth name of English actress and author Lalla Ward, best known for playing Romana in the classic science-fiction series "Doctor Who."
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677450ee0819081f02b5e95f40176 completed April 20, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08612293088190a06e4d22cca8a285 completed May 16, 2026, 12:20 p.m.
Created at: April 16, 2026, 11:19 a.m.