Triple

T23219712
Position Surface form Disambiguated ID Type / Status
Subject Cornell Big Red women’s cross country program E580851 entity
Predicate nickname P55 FINISHED
Object Big Red — 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: Big Red | Statement: [Cornell Big Red women’s cross country program, nickname, Big Red]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Big Red
Context triple: [Cornell Big Red women’s cross country program, nickname, Big Red]
  • A. Big Red chosen
    Big Red is the traditional nickname for Cornell University's athletic teams, especially its football program, symbolizing the school's identity and spirit.
  • B. Big Red
    Big Red is the costumed live-action hog mascot that represents the University of Arkansas Razorbacks at athletic events and school functions.
  • C. Big Red
    Big Red is the furry, red, amorphous costumed mascot of Western Kentucky University, known for its energetic antics and unique, cartoonish appearance.
  • D. Big Red
    Big Red is a cinnamon-flavored chewing gum brand produced by the Wrigley Company and known for its strong, spicy-sweet taste.
  • E. Big Red
    Big Red is the fiery and assertive captain of the Toros cheerleading squad in the teen comedy film "Bring It On."
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f191675de48190858907872a065c56 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.