Triple

T22270803
Position Surface form Disambiguated ID Type / Status
Subject Arizona State University marching band E550468 entity
Predicate featuresMascot P52 FINISHED
Object Sparky the Sun Devil 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: Sparky the Sun Devil | Statement: [Arizona State University marching band, featuresMascot, Sparky the Sun Devil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sparky the Sun Devil
Context triple: [Arizona State University marching band, featuresMascot, Sparky the Sun Devil]
  • A. Sparky the Sun Devil chosen
    Sparky the Sun Devil is the costumed pitchfork-wielding devil mascot representing Arizona State University’s athletic teams.
  • B. Sparky Marcus
    Sparky Marcus is a film and television producer known for his work on projects such as the series "Cafe Racers."
  • C. Blaze the Blue Devil
    Blaze the Blue Devil is the costumed athletic mascot representing the University of Wisconsin–Stout’s sports teams and school spirit.
  • D. Sparky
    Sparky is the loyal, resurrected pet dog at the heart of Tim Burton’s animated film "Frankenweenie."
  • E. Sparky
    Sparky is the nickname of Sparky Lyle, a former Major League Baseball relief pitcher best known for his standout career with the New York Yankees in the 1970s.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141c056cc819088dae6f2b9a1d526 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:40 p.m.