Triple

T12935701
Position Surface form Disambiguated ID Type / Status
Subject Bradley Witherspoon E309500 entity
Predicate hasGivenName P17 FINISHED
Object Bradley E985830 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: Bradley | Statement: [Bradley Witherspoon, hasGivenName, Bradley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bradley
Context triple: [Bradley Witherspoon, hasGivenName, Bradley]
  • A. Bradley
    Bradley is a common English surname borne by numerous notable individuals across sports, politics, entertainment, and other fields.
  • B. Bradley
    Bradley is the commonly used short name for Bradley University, a private university located in Peoria, Illinois.
  • C. Bradley
    Bradley is the given first name of American actor BD Wong, known for his roles in film, television, and theater.
  • D. Bradley chosen
    Bradley is a masculine given name of Old English origin, traditionally meaning "broad meadow."
  • E. Bradley
    Bradley is the given first name of Brad Stevens, an American professional basketball executive and former head coach of the Boston Celtics.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc76d688190bd58a23351373666 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6d16388190abc848ac67bf1fb9 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:42 p.m.