Triple

T18814319
Position Surface form Disambiguated ID Type / Status
Subject Cornell Big Red field hockey E460095 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 field hockey, nickname, Big Red]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Big Red
Context triple: [Cornell Big Red field hockey, 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 furry, red, amorphous costumed mascot of Western Kentucky University, known for its energetic antics and unique, cartoonish appearance.
  • C. Big Red
    Big Red is a cinnamon-flavored chewing gum brand produced by the Wrigley Company and known for its strong, spicy-sweet taste.
  • D. Big Red
    Big Red is the nickname and mascot representing Denison University's athletic teams and school spirit.
  • E. Big Red
    Big Red is the nickname and symbol representing the athletic teams and school spirit of The Lawrenceville School in New Jersey.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3df2d3881909b336d813bbfd0aa completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.