Triple

T17897136
Position Surface form Disambiguated ID Type / Status
Subject Road Runner E447458 entity
Predicate nemesis P16446 FINISHED
Object Wile E. Coyote 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: Wile E. Coyote | Statement: [Road Runner, nemesis, Wile E. Coyote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wile E. Coyote
Context triple: [Road Runner, nemesis, Wile E. Coyote]
  • A. Wile E. Coyote chosen
    Wile E. Coyote is a classic Looney Tunes cartoon character best known as the endlessly scheming, perpetually failing predator obsessed with catching the Road Runner.
  • B. Charlie Coyote
    Charlie Coyote is the costumed athletic mascot representing the University of South Dakota’s sports teams.
  • C. Cody the Coyote
    Cody the Coyote is the costumed coyote character who serves as the spirited athletic and campus mascot for California State University, San Bernardino.
  • D. Rowdy the Roadrunner
    Rowdy the Roadrunner is the energetic and spirited mascot representing California State University, Bakersfield at its athletic events and campus activities.
  • E. Rowdy the Roadrunner
    Rowdy the Roadrunner is the energetic and spirited mascot representing the University of Texas at San Antonio at athletic events and campus activities.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d8045748190a4e8c4684439a96b completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:19 a.m.