Triple

T17945270
Position Surface form Disambiguated ID Type / Status
Subject Randy J. Rogel E448686 entity
Predicate hasWrittenForCharacter P11775 FINISHED
Object Wakko Warner NE NERFINISHED

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: Wakko Warner | Statement: [Randy J. Rogel, hasWrittenForCharacter, Wakko Warner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wakko Warner
Context triple: [Randy J. Rogel, hasWrittenForCharacter, Wakko Warner]
  • A. Wakko Warner chosen
    Wakko Warner is one of the three zany Warner siblings from the animated series "Animaniacs," known for his goofy personality, slapstick humor, and insatiable appetite.
  • B. Yakko Warner
    Yakko Warner is a fast-talking, wisecracking cartoon character from the animated series "Animaniacs," known as the eldest of the Warner siblings.
  • C. Wally
    Wally is a character from the comedy film "The Great Outdoors," known for his role in the movie’s humorous family vacation mishaps.
  • D. Wally
    Wally is a character featured in the educational children's series "Alphabetical Order," likely serving as a playful figure to help teach letters and literacy concepts.
  • E. Wally
    Wally is a common English diminutive given name, typically derived from names like Walter or Waldemar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad990b948190a5e6fd50a15f64e3 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.