Triple

T11416098
Position Surface form Disambiguated ID Type / Status
Subject Daws Butler E270494 entity
Predicate notableCharacterVoiced P13156 FINISHED
Object Wally Gator E924403 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: Wally Gator | Statement: [Daws Butler, notableCharacterVoiced, Wally Gator]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wally Gator
Context triple: [Daws Butler, notableCharacterVoiced, Wally Gator]
  • A. Wally Gator chosen
    Wally Gator is a classic Hanna-Barbera cartoon character, a friendly, anthropomorphic alligator known for his humorous escapades and attempts to escape the zoo.
  • B. Albert the Alligator
    Albert the Alligator is the costumed alligator mascot of the University of Florida, representing the Florida Gators at athletic events and school functions.
  • C. Gator
    Gator is the alligator-themed mascot representing San Francisco State University's athletic teams and school spirit.
  • D. Gator
    Gator is the alligator-themed mascot representing Escambia High School’s athletic teams and school spirit.
  • E. Gator
    Gator is a 1976 American crime comedy film directed by and starring Burt Reynolds as a small-time bootlegger drawn into a dangerous undercover operation.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801ae47d0819098123505309c4a68 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d352283c8190b3ae7cefbd3bd5da completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:34 p.m.