Triple

T13352238
Position Surface form Disambiguated ID Type / Status
Subject Robert Kazinsky E318096 entity
Predicate familyName P18 FINISHED
Object Appleby E907641 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: Appleby | Statement: [Robert Kazinsky, familyName, Appleby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Appleby
Context triple: [Robert Kazinsky, familyName, Appleby]
  • A. Appleby chosen
    Appleby is a surname of English origin borne by various notable individuals, including American actress Shiri Appleby.
  • B. Appleby-in-Westmorland
    Appleby-in-Westmorland is a historic market town in Cumbria, England, renowned for its picturesque setting and annual horse fair.
  • C. Engleby
    Engleby is a psychological novel by Sebastian Faulks that follows the unsettling, introspective narrative of a socially isolated Cambridge student who may be involved in a mysterious disappearance.
  • D. Anlaby
    Anlaby is a suburban village in the East Riding of Yorkshire, England, situated just west of Kingston upon Hull.
  • E. Bramhall
    Bramhall is a suburban village in Greater Manchester, England, known for its affluent residential character and historic Bramhall Hall.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8d520881908aa23c7102b72b72 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f49e5548190b14d09daea628e6b completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:32 p.m.