Triple

T12443301
Position Surface form Disambiguated ID Type / Status
Subject Lady Rachel Cavendish E297330 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: [Lady Rachel Cavendish, familyName, Cavendish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cavendish
Context triple: [Lady Rachel Cavendish, familyName, Cavendish]
  • A. Cavendish
    Cavendish is a picturesque village and civil parish in Suffolk, England, noted for its historic thatched cottages and traditional English countryside charm.
  • B. Cavendish
    Cavendish is the married surname of Kathleen Kennedy, a member of the prominent Kennedy family who became Marchioness of Hartington.
  • C. 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.
  • D. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • E. Daubeny
    Daubeny is an English surname derived from the Norman French family name d’Aubigny.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8fd9848190a83410353d88ea8d completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b9d34848190b02311ada2572440 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:55 p.m.