Triple

T22649271
Position Surface form Disambiguated ID Type / Status
Subject YUM E559051 entity
Predicate tickerForExchange P524 FINISHED
Object NYSE:YUM NE NERFINISHED

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: NYSE:YUM | Statement: [YUM, tickerForExchange, NYSE:YUM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NYSE:YUM
Context triple: [YUM, tickerForExchange, NYSE:YUM]
  • A. Yum! Brands chosen
    Yum! Brands is a major American fast-food corporation that owns and operates global restaurant chains such as KFC, Taco Bell, and Pizza Hut.
  • B. Y&R Brands
    Y&R Brands is a global marketing and communications network that operates as the brand management and advertising arm associated with the Young & Rubicam agency.
  • C. Restaurant Brands International
    Restaurant Brands International is a multinational fast-food holding company that owns major quick-service chains including Tim Hortons, Burger King, and Popeyes.
  • D. Wendy's
    Wendy's is a major American fast-food restaurant chain best known for its square hamburgers, Frosty desserts, and distinctive redheaded girl logo.
  • E. Brinker International
    Brinker International is a major American restaurant company best known as the parent of casual dining chains such as Chili’s Grill & Bar and Maggiano’s Little Italy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703a84b081909a683f8c850dcbf9 completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.