Triple

T5590529
Position Surface form Disambiguated ID Type / Status
Subject Reynolds E146865 entity
Predicate hasNotableBearer P458 FINISHED
Object Harold Reynolds E159699 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: Harold Reynolds | Statement: [Reynolds, hasNotableBearer, Harold Reynolds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harold Reynolds
Context triple: [Reynolds, hasNotableBearer, Harold Reynolds]
  • A. Harold Reynolds chosen
    Harold Reynolds is a former Major League Baseball second baseman who became a prominent television baseball analyst and commentator.
  • B. Jamaal Wilkes
    Jamaal Wilkes is a Hall of Fame American basketball player best known for his smooth scoring and key role on multiple NBA championship teams, particularly with the Los Angeles Lakers.
  • C. Verdell Mathis
    Verdell Mathis was a standout pitcher in Negro league baseball, best known for his years with the Memphis Red Sox in the 1930s and 1940s.
  • D. Darryl Pearson
    Darryl Pearson is an American record producer and songwriter known for his work in R&B and hip hop with prominent artists in the 1990s and 2000s.
  • E. Ed Bolden
    Ed Bolden was a pioneering African American baseball executive and key architect of early Negro league baseball in the United States.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020a1d4cc8190a52264dfba6aa011 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d8c6f8881909ac2018d11f5aef8 completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:38 p.m.