Triple

T2639369
Position Surface form Disambiguated ID Type / Status
Subject Lord Charles Cavendish E62826 entity
Predicate familyName P18 FINISHED
Object Cavendish E48548 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: Cavendish | Statement: [Lord Charles Cavendish, familyName, Cavendish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cavendish
Context triple: [Lord Charles Cavendish, familyName, Cavendish]
  • A. Cavendish
    Cavendish is the married surname of Kathleen Kennedy, a member of the prominent Kennedy family who became Marchioness of Hartington.
  • B. Cavendish chosen
    Cavendish is a prominent English aristocratic family historically influential in politics, science, and society, associated with figures such as scientists Henry and William Cavendish and the Dukes of Devonshire.
  • C. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • D. Rutherford
    Rutherford is the given name of Rutherford B. Hayes, the 19th president of the United States.
  • E. Rutherford
    Rutherford is a residential and industrial suburb in the City of Maitland in New South Wales, Australia.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8fafad08190939b08558fea6abd completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90b628748190bdbb23f1d85bc3fd completed March 10, 2026, 3:32 a.m.
Created at: March 6, 2026, 9:53 p.m.