Triple

T11011287
Position Surface form Disambiguated ID Type / Status
Subject Owen Bradley E260252 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: [Owen Bradley, familyName, Bradley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bradley
Context triple: [Owen Bradley, familyName, Bradley]
  • A. Bradley chosen
    Bradley is a common English surname borne by numerous notable individuals across sports, politics, entertainment, and other fields.
  • B. Bradley
    Bradley is a small unincorporated community located in Raleigh County, West Virginia, known primarily as a residential area near the city of Beckley.
  • C. Bradley
    Bradley is the given first name of American actor BD Wong, known for his roles in film, television, and theater.
  • D. Bradley
    Bradley is the given first name of Brad Stevens, an American professional basketball executive and former head coach of the Boston Celtics.
  • E. Bradley
    Bradley is a locality in England historically associated with the life and death of the pioneering ironmaster John Wilkinson.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797899a388190aa8fe813eac4dba7 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374ac78348190a8c0a5a7a736b24b completed April 18, 2026, 12:10 p.m.
Created at: April 8, 2026, 9:25 p.m.