Triple

T3241053
Position Surface form Disambiguated ID Type / Status
Subject Peter Pan E67965 entity
Predicate voiceActor P1507 FINISHED
Object Kathryn Beaumont E429842 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: Kathryn Beaumont | Statement: [Peter Pan, voiceActor, Kathryn Beaumont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathryn Beaumont
Context triple: [Peter Pan, voiceActor, Kathryn Beaumont]
  • A. Kathryn Beaumont chosen
    Kathryn Beaumont is a British-American actress and schoolteacher best known for providing the voice and live-action reference for Alice in Disney’s animated film "Alice in Wonderland" and Wendy in "Peter Pan."
  • B. Barbara Trentham
    Barbara Trentham was an American model and actress who later became a painter, known in part for her marriage to British comedian John Cleese.
  • C. Lorraine Broughton
    Lorraine Broughton is a highly skilled, stylish MI6 spy and lethal combatant who serves as the protagonist of the action thriller film "Atomic Blonde."
  • D. Renée Lees
    Renée Lees was the wife of prominent British philosopher A. J. Ayer.
  • E. Gillian Redfearn
    Gillian Redfearn is a prominent British science fiction and fantasy editor and publishing director, recognized for her influential work in genre publishing.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef6430081909084589f6eea5c7e completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d02c25408190ba366a6a5e422046 completed March 14, 2026, 9:16 p.m.
Created at: March 8, 2026, 3:08 p.m.