Triple

T3241064
Position Surface form Disambiguated ID Type / Status
Subject Peter Pan E67965 entity
Predicate narrator P2181 FINISHED
Object Tom Conway E158546 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: Tom Conway | Statement: [Peter Pan, narrator, Tom Conway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Conway
Context triple: [Peter Pan, narrator, Tom Conway]
  • A. Tom Conway chosen
    Tom Conway was a British-American actor best known for taking over the role of The Falcon in the popular 1940s film series and for his work in film noir and horror movies.
  • B. Dick O’Connell
    Dick O’Connell was the Boston Red Sox general manager credited with orchestrating the franchise’s dramatic resurgence in the 1960s, including the famed 1967 “Impossible Dream” season.
  • C. Martin Mull
    Martin Mull is an American actor, comedian, and musician known for his dry wit and roles in television comedies and films.
  • D. Paul Dooley
    Paul Dooley is an American character actor, writer, and comedian known for his roles in films such as "Breaking Away," "Sixteen Candles," and numerous television series.
  • E. Jeffrey Donovan
    Jeffrey Donovan is an American actor best known for starring as Michael Westen in the television series "Burn Notice" and appearing in films such as "Sicario" and its sequel.
  • 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_69b27754492c819099bab9a2a3344561 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.