Triple

T22373155
Position Surface form Disambiguated ID Type / Status
Subject Lute Olson E553090 entity
Predicate nickname P55 FINISHED
Object Lute 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: Lute | Statement: [Lute Olson, nickname, Lute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lute
Context triple: [Lute Olson, nickname, Lute]
  • A. Lute
    Lute is an American rapper from Charlotte, North Carolina, known for his introspective lyricism and as a member of J. Cole’s Dreamville Records roster.
  • B. Lute chosen
    Lute is the widely used nickname of Hall of Fame college basketball coach Lute Olson, best known for leading the University of Arizona to national prominence.
  • C. Lutes
    The Lutes are the athletic teams representing Pacific Lutheran University in collegiate sports competitions.
  • D. Harp
    Harp is a central character in the film "Concrete Cowboy," serving as the estranged father who introduces his troubled son to the world of urban horseback riding in Philadelphia.
  • E. Viulan
    A Viulan is a resident or native of the French commune of Viuz-en-Sallaz in the Haute-Savoie department.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15805a3048190a802161d119d7a5a completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.