Triple

T6736409
Position Surface form Disambiguated ID Type / Status
Subject John Beasley E153764 entity
Predicate birthName P65 FINISHED
Object John Michael Beasley E243547 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: John Michael Beasley | Statement: [John Beasley, birthName, John Michael Beasley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Michael Beasley
Context triple: [John Beasley, birthName, John Michael Beasley]
  • A. Michael Beasley
    Michael Beasley is an Anglican bishop and public health epidemiologist who serves as the Bishop of Bath and Wells in the Church of England.
  • B. Michael Beasley chosen
    Michael Beasley is an American professional basketball player and former No. 2 NBA draft pick known for his scoring ability and stints with multiple NBA and international teams.
  • C. Anthony Mason
    Anthony Mason was a rugged, versatile forward best known for his physical defense, ball-handling, and key role on the mid-1990s New York Knicks.
  • D. Tyus Edney
    Tyus Edney is an American former professional basketball player and NCAA champion point guard best known for his clutch play at UCLA and a successful European career.
  • E. Jerramy Stevens
    Jerramy Stevens is a former American football tight end who played in the NFL, primarily for the Seattle Seahawks and Tampa Bay Buccaneers.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d18369d88190a73349075462202b completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b09b97c8190a5a538571b6909f0 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:09 p.m.