Triple

T9222439
Position Surface form Disambiguated ID Type / Status
Subject David Bradley E221594 entity
Predicate familyName P18 FINISHED
Object Bradley E153144 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: [David Bradley, familyName, Bradley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bradley
Context triple: [David Bradley, familyName, Bradley]
  • A. Bradley
    Bradley is the given first name of Brad Stevens, an American professional basketball executive and former head coach of the Boston Celtics.
  • B. Bradley
    Bradley is a locality in England historically associated with the life and death of the pioneering ironmaster John Wilkinson.
  • C. Bradley
    Bradley is the commonly used short name for Bradley University, a private university located in Peoria, Illinois.
  • D. Bradley chosen
    Bradley is a common English surname borne by numerous notable individuals across sports, politics, entertainment, and other fields.
  • E. Bradley
    Bradley is a small unincorporated community located in Raleigh County, West Virginia, known primarily as a residential area near the city of Beckley.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda76e3648190af9e24381db7679a completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d066384a908190b833d4ae5b3c5074 completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:28 p.m.