Triple

T7510480
Position Surface form Disambiguated ID Type / Status
Subject University of Oklahoma E177505 entity
Predicate mascot P52 FINISHED
Object Sooner Schooner E177500 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: Sooner Schooner | Statement: [University of Oklahoma, mascot, Sooner Schooner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sooner Schooner
Context triple: [University of Oklahoma, mascot, Sooner Schooner]
  • A. Sooner Schooner chosen
    The Sooner Schooner is a covered wagon pulled by ponies that serves as the University of Oklahoma’s iconic game-day mascot, symbolizing the state’s pioneer and land run heritage.
  • B. Trudy Ship
    Trudy Ship is a film editor best known for her work on the drama "Mr. Holland's Opus."
  • C. Arielle Ship
    Arielle Ship is an American soccer forward known for her standout collegiate career at the University of California, Berkeley and subsequent professional play in the National Women's Soccer League.
  • D. Gracy
    Gracy is a given name, typically used as a feminine variant of the name Gracie or Grace.
  • E. Cherokee Louise
    "Cherokee Louise" is a song by Joni Mitchell that poignantly tells the story of a troubled young girl and themes of abuse and resilience.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d1e1a4819090bf4cbacdbdc7d0 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ef549588190ab950abb3678128f completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:45 p.m.