Triple

T20034934
Position Surface form Disambiguated ID Type / Status
Subject Lane Bradbury E497230 entity
Predicate familyName P18 FINISHED
Object Bradbury NE NERFINISHED

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: Bradbury | Statement: [Lane Bradbury, familyName, Bradbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bradbury
Context triple: [Lane Bradbury, familyName, Bradbury]
  • A. Bradbury
    Bradbury is a small residential city in Los Angeles County, California, known for its affluent, semi-rural character and large estate properties.
  • B. Bradbury chosen
    Bradbury is a surname of English origin borne by various notable individuals across fields such as literature, sports, and entertainment.
  • C. Bradbury
    Bradbury is a residential suburb in the Macarthur region of south-western Sydney, New South Wales, Australia.
  • D. William Bradbury
    William Bradbury was a 19th-century British printer and publisher best known as a co-founder of the influential London publishing firm Bradbury and Evans.
  • E. Ray Bradbury
    Ray Bradbury was an American author best known for his imaginative and socially critical science fiction and fantasy works, including the classic novel "Fahrenheit 451."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e76f8481909c006921cbbfd060 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.