Triple

T13100430
Position Surface form Disambiguated ID Type / Status
Subject Bobby Petrino E310703 entity
Predicate name P16 FINISHED
Object Bobby Petrino E310703 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: Bobby Petrino | Statement: [Bobby Petrino, name, Bobby Petrino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bobby Petrino
Context triple: [Bobby Petrino, name, Bobby Petrino]
  • A. Bobby Petrino chosen
    Bobby Petrino is an American football coach known for his offensive expertise and controversial tenures leading several major college programs and an NFL team.
  • B. Lane Kiffin
    Lane Kiffin is an American football coach known for his high-powered offensive schemes and headline-grabbing tenures at major college programs and in the NFL.
  • C. Les Miles
    Les Miles is an American college football coach best known for leading LSU to a national championship and for his colorful, unconventional coaching style.
  • D. Ed Orgeron
    Ed Orgeron is an American football coach best known for leading the LSU Tigers to a national championship during the 2019 season.
  • E. Leon Dabo
    Leon Dabo was an American painter best known for his atmospheric, subtly colored landscapes and cityscapes that exemplify the Tonalist movement in the late 19th and early 20th centuries.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981515d488190908d3cca1b84a42d completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61bcfe88190866b4330d1669602 completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:04 p.m.