Triple

T13213318
Position Surface form Disambiguated ID Type / Status
Subject Wisconsin Badgers E314546 entity
Predicate mascot P52 FINISHED
Object Bucky Badger E75596 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: Bucky Badger | Statement: [Wisconsin Badgers, mascot, Bucky Badger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bucky Badger
Context triple: [Wisconsin Badgers, mascot, Bucky Badger]
  • A. Bucky Badger chosen
    Bucky Badger is the cartoon badger mascot of the University of Wisconsin–Madison, known for representing the school's athletic teams and spirit at sporting events and campus activities.
  • B. Bucky the Squirrel
    Bucky the Squirrel is an energetic, fast-talking cartoon squirrel character best known from the animated series "The Emperor's New School."
  • C. Banzi
    Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
  • D. Nagg
    Nagg is a legless, elderly character in Samuel Beckett’s play "Endgame," known for living in a trash bin and engaging in bleakly comic exchanges with his wife Nell.
  • E. Bucky the Bison
    Bucky the Bison is the costumed bison mascot representing Bucknell University's athletic teams, especially its football program.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9f0f148190a0698ef27573c885 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f6136270819093256a143d2c9e65 completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:17 p.m.