Triple

T16251732
Position Surface form Disambiguated ID Type / Status
Subject Cornell Big Red women's golf E394523 entity
Predicate teamName P7598 FINISHED
Object Big Red E313475 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: Big Red | Statement: [Cornell Big Red women's golf, teamName, 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 golf, teamName, Big Red]
  • A. Big Red
    Big Red is the nickname of the former St. Louis Cardinals NFL franchise, known for its red uniforms and long, often struggling history before relocating and becoming the Arizona Cardinals.
  • 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 chosen
    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 (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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24596e2208190ad9d9abfa6620ca1 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee568a48190835ce76f84461044 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.