Triple

T2676448
Position Surface form Disambiguated ID Type / Status
Subject Tweety E56471 entity
Predicate voiceActor P1507 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: [Tweety, voiceActor, Joe Alaskey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Alaskey
Context triple: [Tweety, voiceActor, 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. Stephen Root
    Stephen Root is an American character actor and voice actor known for his versatile roles in film, television, and animation, including work in projects like "Office Space," "King of the Hill," and "Barry."
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b4a70481909d8b8242039c1cf2 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0638a9c8190b48ca5aa56eb66ff completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:54 p.m.