Triple

T16686285
Position Surface form Disambiguated ID Type / Status
Subject Tyron Garner E405469 entity
Predicate name P16 FINISHED
Object Tyron Garner E405469 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: Tyron Garner | Statement: [Tyron Garner, name, Tyron Garner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyron Garner
Context triple: [Tyron Garner, name, Tyron Garner]
  • A. Tyron Garner chosen
    Tyron Garner was one of the two men whose arrest for consensual same-sex activity led to the landmark 2003 U.S. Supreme Court decision in Lawrence v. Texas, which struck down sodomy laws nationwide.
  • B. Tyrone Williams
    Tyrone Williams is a music industry executive best known as the founder of the influential hip-hop label Cold Chillin' Records.
  • C. Michael Clemons
    Michael Clemons is a professional gridiron football player known for his career as a defensive end in the Canadian Football League.
  • D. Jerrick Harding
    Jerrick Harding is an American professional basketball player best known as a prolific scoring guard who starred at Weber State University.
  • E. Tyson Bowles
    Tyson Bowles is one of the children of NFL head coach and former player Todd Bowles.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea63b7081908a055036172f9683 completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b27dcef481909ccfe4d3d604b1de completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:19 a.m.