Triple

T11734640
Position Surface form Disambiguated ID Type / Status
Subject Michigan Wolverines E278993 entity
Predicate nickname P55 FINISHED
Object Wolverines E55536 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: Wolverines | Statement: [Michigan Wolverines, nickname, Wolverines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolverines
Context triple: [Michigan Wolverines, nickname, Wolverines]
  • A. Wolverines
    Wolverines is the nickname for the athletic teams representing Utah Valley University in collegiate sports.
  • B. Wolverines
    Wolverines is the mascot representing Simeon Career Academy’s athletic teams and school spirit.
  • C. Wolverines chosen
    Wolverines are the fierce, wolverine-themed mascots representing the University of Michigan’s athletic teams, especially its storied football program.
  • D. Wolverines
    Wolverines is the athletics nickname for the sports teams representing Morris Brown College.
  • E. Wolverines!
    "Wolverines!" is an early campaign mission in Call of Duty: Modern Warfare 2 in which players defend a suburban American neighborhood from a large-scale Russian invasion.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4daa7f48190896fc7653e9dd70b completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0199f595081908c10ecd7dd3900e7 completed April 28, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:41 p.m.