Triple

T3241055
Position Surface form Disambiguated ID Type / Status
Subject Peter Pan E67965 entity
Predicate voiceActor P1507 FINISHED
Object Bill Thompson E343824 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: Bill Thompson | Statement: [Peter Pan, voiceActor, Bill Thompson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Thompson
Context triple: [Peter Pan, voiceActor, Bill Thompson]
  • A. Bill Thompson chosen
    Bill Thompson was an American voice actor best known for his work in classic Disney animated films and radio, including roles in "Alice in Wonderland."
  • B. Joseph C. Thompson
    Joseph C. Thompson is an American arts administrator best known for leading the development and long-term growth of the Massachusetts Museum of Contemporary Art (MASS MoCA) into a major contemporary art institution.
  • C. B. Ray Thompson
    B. Ray Thompson was a prominent businessman and philanthropist whose significant contributions to the University of Tennessee led to the naming of Thompson–Boling Arena in his honor.
  • D. James A. Thomas
    James A. Thomas was a prominent American tobacco executive associated with the American Tobacco Company and Duke University.
  • E. William C. Thompson
    William C. Thompson was an American cinematographer best known for his work on low-budget genre films, including several directed by Ed Wood.
  • 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_69b35456814c8190a8e4d53935af539a completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:08 p.m.