Triple

T3123073
Position Surface form Disambiguated ID Type / Status
Subject Sylvester E65231 entity
Predicate voicedBy P2181 FINISHED
Object Joe Alaskey E269747 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: Joe Alaskey | Statement: [Sylvester, voicedBy, Joe Alaskey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Alaskey
Context triple: [Sylvester, voicedBy, Joe Alaskey]
  • A. Joe Alaskey chosen
    Joe Alaskey was an American voice actor best known for succeeding Mel Blanc in voicing many classic Looney Tunes characters, including iconic roles like Daffy Duck, Bugs Bunny, and others.
  • B. Stephen Tobolowsky
    Stephen Tobolowsky is an American character actor and storyteller known for his prolific film and television work, including memorable roles in projects like "Groundhog Day" and numerous other mainstream movies and series.
  • C. Tim Healy
    Tim Healy was an Irish nationalist politician, lawyer, and writer who became the first Governor-General of the Irish Free State.
  • D. 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.
  • E. Dylan Baker
    Dylan Baker is an American character actor known for his versatile roles in film, television, and theater, including appearances in movies like "Planes, Trains and Automobiles" and the "Spider-Man" series.
  • 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_69b20f72c2048190ab2aa40a109f5976 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.