Triple

T9104112
Position Surface form Disambiguated ID Type / Status
Subject Butch T. Cougar E218432 entity
Predicate hasAlias P455 FINISHED
Object Butch Cougar E218432 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: Butch Cougar | Statement: [Butch T. Cougar, hasAlias, Butch Cougar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butch Cougar
Context triple: [Butch T. Cougar, hasAlias, Butch Cougar]
  • A. Butch T. Cougar chosen
    Butch T. Cougar is the costumed cougar character who serves as the spirited athletic and school mascot for Washington State University.
  • B. Butch
    Butch is the nickname of Butch van Breda Kolff, an American basketball coach and former player known for his tenure in college and professional basketball.
  • C. Butch
    Butch was the nickname of Edward "Butch" O'Hare, a famed U.S. Navy fighter pilot and Medal of Honor recipient in World War II.
  • D. Butch
    Butch is the nickname of Jackie "Butch" Jenkins, a popular American child film actor of the 1940s known for his natural, unpolished performances.
  • E. Lobo
    Lobo is a coastal municipality in the province of Batangas in the Philippines, known for its beaches, dive sites, and marine biodiversity.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca56f1f10819091abadf7cd06c3a6 completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01840d2488190a14d458aa181cc47 completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:15 p.m.