Triple

T10469139
Position Surface form Disambiguated ID Type / Status
Subject Katherine Lucy Bridget Burke E246879 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: [Katherine Lucy Bridget Burke, familyName, Burke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burke
Context triple: [Katherine Lucy Bridget Burke, familyName, Burke]
  • A. Burke
    Burke is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods, parks, and proximity to Washington, D.C.
  • B. Burke
    Burke is a town located in Dane County, Wisconsin, known as a suburban community near the city of Madison.
  • C. Burke chosen
    Burke is a common Irish-origin surname borne by numerous notable figures across politics, the arts, and public life.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092fa6048190b26d481ddc3e3ec2 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ffdfd988190a37b3444d096e678 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.