Triple

T3123075
Position Surface form Disambiguated ID Type / Status
Subject Sylvester E65231 entity
Predicate voicedBy P2181 FINISHED
Object Eric Bauza E278521 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: Eric Bauza | Statement: [Sylvester, voicedBy, Eric Bauza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Bauza
Context triple: [Sylvester, voicedBy, Eric Bauza]
  • A. Eric Bauza chosen
    Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
  • B. Joel Murray
    Joel Murray is an American actor and comedian known for his character roles in film and television, as well as for his voice work in animated projects.
  • C. Ken Olin
    Ken Olin is an American actor, director, and television producer best known for his work on series such as "Thirtysomething" and "This Is Us."
  • D. Tim Laudner
    Tim Laudner is a former Major League Baseball catcher best known for his years with the Minnesota Twins, including their 1987 World Series championship team.
  • E. Seth Gabel
    Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52c105c8190b8128e66d9b9e8a0 completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b335d748190a70ca2e519792a62 completed March 12, 2026, 5:12 a.m.
Created at: March 8, 2026, 3:04 p.m.