Triple

T19653647
Position Surface form Disambiguated ID Type / Status
Subject Tulane Green Wave football E471876 entity
Predicate notableAlumnus P304 FINISHED
Object Shaun King 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: Shaun King | Statement: [Tulane Green Wave football, notableAlumnus, Shaun King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaun King
Context triple: [Tulane Green Wave football, notableAlumnus, Shaun King]
  • A. Shaun King chosen
    Shaun King is a former American football quarterback best known for his standout college career at Tulane University and for playing in the NFL, notably with the Tampa Bay Buccaneers.
  • B. Shawn King
    Shawn King is an American singer, actress, and television host best known as the former wife of legendary broadcaster Larry King.
  • C. Jelani Kilpatrick
    Jelani Kilpatrick is known as one of the sons of former Detroit mayor Kwame Kilpatrick.
  • D. Wyatt Tee Walker
    Wyatt Tee Walker was an influential American civil rights leader, close aide to Martin Luther King Jr., and chief strategist and organizer for the Southern Christian Leadership Conference.
  • E. Boots Riley
    Boots Riley is an American filmmaker, musician, and activist best known for his surreal, politically charged work including the film "Sorry to Bother You."
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641442994819085a7d9562bf0bdcd completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.