Triple

T13181540
Position Surface form Disambiguated ID Type / Status
Subject Wake Forest Demon Deacons men's basketball E313738 entity
Predicate notableAlumnus P304 FINISHED
Object Jeff Teague E572170 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: Jeff Teague | Statement: [Wake Forest Demon Deacons men's basketball, notableAlumnus, Jeff Teague]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Teague
Context triple: [Wake Forest Demon Deacons men's basketball, notableAlumnus, Jeff Teague]
  • A. Jeff Teague chosen
    Jeff Teague is an American former NBA point guard best known for his All-Star tenure with the Atlanta Hawks.
  • B. Jason Teague
    Jason Teague is a recurring character on the television series "Smallville," known as Lana Lang’s love interest and a key figure in the show’s fourth season mystery arc.
  • C. Trey Hardee
    Trey Hardee is an American decathlete and two-time world champion known as one of the top multi-event track and field athletes of his era.
  • D. Troy Daniels
    Troy Daniels is an American professional basketball shooting guard known in the NBA for his three-point shooting ability and floor-spacing off the bench.
  • E. Sean Whalen
    Sean Whalen is an American character actor known for his distinctive, often quirky roles in film and television, including horror and cult favorites.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c490ed081908ea54edb25c3de90 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5ee66188190afb75a598a2f8211 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:14 p.m.