Triple

T6785056
Position Surface form Disambiguated ID Type / Status
Subject Michigan Wolverines men's ice hockey E155779 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 men's ice hockey, nickname, Wolverines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolverines
Context triple: [Michigan Wolverines men's ice hockey, nickname, Wolverines]
  • A. Wolverines chosen
    Wolverines are the fierce, wolverine-themed mascots representing the University of Michigan’s athletic teams, especially its storied football program.
  • B. Panther
    Panther is the NATO reporting name for the German World War II medium tank Panzerkampfwagen V, renowned for its powerful gun, sloped armor, and significant impact on armored warfare.
  • C. Panther
    The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
  • D. Nanooks
    Nanooks is the nickname for the University of Alaska Fairbanks athletic teams, representing the school in NCAA competition.
  • E. Wolf
    Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d28de0348190998751fd546bfd02 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712d6fb4c8190a7e7b88edc9c848c completed March 27, 2026, 11:29 p.m.
Created at: March 27, 2026, 2:14 p.m.