Triple

T9483216
Position Surface form Disambiguated ID Type / Status
Subject Arleigh Burke E228696 entity
Predicate familyName P18 FINISHED
Object Burke E379595 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: Burke | Statement: [Arleigh Burke, familyName, Burke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burke
Context triple: [Arleigh Burke, familyName, Burke]
  • A. Burke
    Burke is a town located in Dane County, Wisconsin, known as a suburban community near the city of Madison.
  • B. Burke chosen
    Burke is a common Irish-origin surname borne by numerous notable figures across politics, the arts, and public life.
  • C. Burke
    Burke is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods, parks, and proximity to Washington, D.C.
  • D. Edmund W. Burke
    Edmund W. Burke was a Canadian architect and engineer best known for his influential early 20th-century infrastructure and building designs in Toronto.
  • E. Edmund Burke
    Edmund Burke was an 18th-century Irish statesman, political theorist, and philosopher widely regarded as the intellectual father of modern conservatism.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804c859081908c261ad16b501f0d completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d0620608190a6697777ec2eec26 completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:55 p.m.