Triple

T15666602
Position Surface form Disambiguated ID Type / Status
Subject Tony Anselmo E377202 entity
Predicate name P16 FINISHED
Object Tony Anselmo E377202 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: Tony Anselmo | Statement: [Tony Anselmo, name, Tony Anselmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Anselmo
Context triple: [Tony Anselmo, name, Tony Anselmo]
  • A. Tony Anselmo chosen
    Tony Anselmo is an American animator and voice actor best known for providing the official voice of Disney’s Donald Duck.
  • B. Dan Maurio
    Dan Maurio is an American television writer and producer known for his work on comedy and late-night shows, and for being married to screenwriter Diablo Cody.
  • C. Don Orsillo
    Don Orsillo is an American sportscaster best known as a longtime play-by-play announcer for Major League Baseball broadcasts, particularly for the Boston Red Sox and later the San Diego Padres.
  • D. Ed Calle
    Ed Calle is a Venezuelan-born saxophonist, composer, and educator known for his work in Latin jazz and as a prolific session musician.
  • E. Gene Quintano
    Gene Quintano is an American screenwriter, director, and producer best known for his work on action-comedy films such as the Police Academy series and other Hollywood genre movies.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f1151548190a14607e762686cb1 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67a22888819092ea521bbad7bcb7 completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:16 a.m.