Triple

T12652829
Position Surface form Disambiguated ID Type / Status
Subject Florida Tuskers E302205 entity
Predicate notablePlayer P304 FINISHED
Object Odell Thurman E706939 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: Odell Thurman | Statement: [Florida Tuskers, notablePlayer, Odell Thurman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odell Thurman
Context triple: [Florida Tuskers, notablePlayer, Odell Thurman]
  • A. Odell Thurman chosen
    Odell Thurman is a former American football linebacker best known for his time with the Cincinnati Bengals in the NFL.
  • B. Willie E. Gary
    Willie E. Gary is a prominent American trial lawyer and philanthropist known for winning massive jury verdicts in high-profile civil cases and for his significant charitable contributions.
  • C. Melvin Edmonds
    Melvin Edmonds was an American R&B singer best known as a founding member of the group After 7.
  • D. Rex Pierson
    Rex Pierson was a British aircraft designer best known for creating several important Vickers military aircraft, including the Wellington bomber used extensively during World War II.
  • E. Clarence Gilyard Jr.
    Clarence Gilyard Jr. was an American actor and academic best known for his roles in popular television series and action films such as "Matlock," "Walker, Texas Ranger," "Die Hard," and "Top Gun."
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96160730c81909e1aa3efb51bf159 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688104d48190939933b93b7e60cc completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:18 p.m.