Triple

T16355396
Position Surface form Disambiguated ID Type / Status
Subject UNI Panthers football E397165 entity
Predicate mascot P52 FINISHED
Object TC Panther E326900 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: TC Panther | Statement: [UNI Panthers football, mascot, TC Panther]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TC Panther
Context triple: [UNI Panthers football, mascot, TC Panther]
  • A. TC Panther chosen
    TC Panther is the costumed panther mascot representing the University of Northern Iowa at athletic events and campus activities.
  • B. Thunderwolf
    Thunderwolf is the athletic mascot of Lakehead University, typically depicted as a fierce wolf symbolizing strength, resilience, and northern spirit.
  • C. Prowlers
    Prowlers is the short name for the Port Huron Prowlers, a professional ice hockey team based in Port Huron, Michigan.
  • D. Supacat
    Supacat is a British engineering company specializing in the design and manufacture of high-mobility, all-terrain military and specialist vehicles.
  • E. Steel Tiger
    Steel Tiger was the codename for a U.S. aerial interdiction campaign during the Vietnam War aimed at disrupting enemy supply routes in Laos.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2face3a54819099418edd0eecc963 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db841dc8190bfe8a0d8fca1b309 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.