Triple

T16316643
Position Surface form Disambiguated ID Type / Status
Subject Sue Sylvester E396187 entity
Predicate coaches P2169 FINISHED
Object Cheerios E1205346 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: Cheerios | Statement: [Sue Sylvester, coaches, Cheerios]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheerios
Context triple: [Sue Sylvester, coaches, Cheerios]
  • A. Cheerios chosen
    Cheerios is the high school cheerleading squad featured in the television series "Glee," known for its intense coach and elaborate performances.
  • B. Honey Bunches of Oats
    Honey Bunches of Oats is a popular American breakfast cereal known for its combination of crunchy oat clusters, flakes, and sweet flavor varieties.
  • C. Rice Krispies
    Rice Krispies is a novelty song best known for its playful, percussive use of cereal sounds and humorous approach to everyday breakfast.
  • D. Kellogg’s Special K
    Kellogg’s Special K is a popular brand of breakfast cereal and related food products marketed as a lighter, diet-friendly option often associated with weight management.
  • E. Raisin Bran
    Raisin Bran is a popular breakfast cereal consisting of bran flakes and raisins, known for its high fiber content and long-standing presence in the U.S. cereal market.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b1e9988190a1dce9f1ed7031df completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0035537d188190a88753d58939faf4 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:06 a.m.