Triple

T9257070
Position Surface form Disambiguated ID Type / Status
Subject John Cavendish E222470 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: [John Cavendish, familyName, Cavendish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cavendish
Context triple: [John Cavendish, familyName, Cavendish]
  • A. 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.
  • B. Cavendish
    Cavendish is a picturesque village and civil parish in Suffolk, England, noted for its historic thatched cottages and traditional English countryside charm.
  • C. Cavendish
    Cavendish is the married surname of Kathleen Kennedy, a member of the prominent Kennedy family who became Marchioness of Hartington.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd06b4e2048190af0d65b904677c36 completed April 1, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09be75fd88190b6e99b0884dcc14c completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:32 p.m.