Triple

T7659766
Position Surface form Disambiguated ID Type / Status
Subject Don Bexley E173474 entity
Predicate alsoKnownAs P39 FINISHED
Object Donald Thomas Bexley E679414 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: Donald Thomas Bexley | Statement: [Don Bexley, alsoKnownAs, Donald Thomas Bexley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Thomas Bexley
Context triple: [Don Bexley, alsoKnownAs, Donald Thomas Bexley]
  • A. Don Bexley chosen
    Don Bexley was an American actor and comedian best known for his role as Bubba Bexley on the television series "Sanford and Son."
  • B. Ben Rothwell
    Ben Rothwell is an American mixed martial artist and longtime UFC heavyweight veteran known for his knockout power and unorthodox personality.
  • C. John Donaldson
    John Donaldson was a prominent early-20th-century African American baseball pitcher renowned for his dominance in Black baseball and barnstorming circuits before the formal Negro Leagues era.
  • D. John Stephenson
    John Stephenson was an American voice actor best known for his extensive work in classic Hanna-Barbera cartoons and other animated television series.
  • E. Michael Buckley
    Michael Buckley is a common name shared by several notable individuals, including authors, entertainers, and public figures across different fields.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a32f588190a7a923e8ce43f727 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a21dd3088190bb026de65970a14b completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 3:59 p.m.