Triple

T2470686
Position Surface form Disambiguated ID Type / Status
Subject Bugs Bunny E55364 entity
Predicate voicedBy P2181 FINISHED
Object Eric Bauza
Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
 E278521 NE FINISHED

How this triple was built (4 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: [Bugs Bunny, voicedBy, Eric Bauza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eric Bauza
Context triple: [Bugs Bunny, voicedBy, Eric Bauza]
  • A. 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.
  • B. 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.
  • C. Seth Gabel
    Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
  • D. Bob Gunton
    Bob Gunton is an American character actor best known for his portrayal of the strict prison warden Samuel Norton in the film "The Shawshank Redemption."
  • E. Joel Fry
    Joel Fry is a British actor and musician known for his roles in film and television, including appearances in projects like "Game of Thrones," "Cruella," and various UK comedies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eric Bauza
Triple: [Bugs Bunny, voicedBy, Eric Bauza]
Generated description
Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eric Bauza
Target entity description: Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
  • A. 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.
  • B. 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.
  • C. Seth Gabel
    Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
  • D. Bob Gunton
    Bob Gunton is an American character actor best known for his portrayal of the strict prison warden Samuel Norton in the film "The Shawshank Redemption."
  • E. Joel Fry
    Joel Fry is a British actor and musician known for his roles in film and television, including appearances in projects like "Game of Thrones," "Cruella," and various UK comedies.
  • F. None of above. chosen

Provenance (5 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd136f5388190801d0b9dc66ad36f completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af654726988190a7166434ecf0582c completed March 10, 2026, 12:26 a.m.
NEDg Description generation batch_69af65fed63881908d1495190ed4f30c completed March 10, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_69af66613dc88190af6a0aa1108a9069 completed March 10, 2026, 12:31 a.m.
Created at: March 6, 2026, 9:44 p.m.