Triple

T686321
Position Surface form Disambiguated ID Type / Status
Subject Cotton Bowl Classic E13290 entity
Predicate sponsor P67 FINISHED
Object Goodyear E46483 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: Goodyear | Statement: [Cotton Bowl Classic, sponsor, Goodyear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goodyear
Context triple: [Cotton Bowl Classic, sponsor, Goodyear]
  • A. Goodyear Tire & Rubber Company chosen
    Goodyear Tire & Rubber Company is a major American multinational manufacturer of tires and rubber products, best known for supplying automotive tires worldwide and for its iconic Goodyear Blimp.
  • B. Bridgestone
    Bridgestone is a global tire and rubber company headquartered in Japan, known for its extensive involvement in motorsports and major sports sponsorships.
  • C. Rockwell
    Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
  • D. Rockwell
    Rockwell is the surname of Norman Rockwell, the iconic American painter and illustrator renowned for his depictions of everyday life in the United States.
  • E. Quaker State
    Quaker State is a nickname for the U.S. state of Pennsylvania, referencing its historical roots in the Quaker religious community.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a093ac988190bb339616a3ed5adb completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca352248190a3e1b4e4c58a1e7f completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.