Triple

T15515202
Position Surface form Disambiguated ID Type / Status
Subject Buckingham U. Badger E368817 entity
Predicate alsoKnownAs P39 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: [Buckingham U. Badger, alsoKnownAs, Bucky Badger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bucky Badger
Context triple: [Buckingham U. Badger, alsoKnownAs, 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. Grimbert the Badger
    Grimbert the Badger is a loyal and level-headed companion of Reynard the Fox in the medieval beast epic "Reynard the Fox."
  • C. 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."
  • D. Banzi
    Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
  • E. 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.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04031e62c8190953b61207142af15 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4edee481908382ca5cd266f7b0 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:02 a.m.