Triple

T14860725
Position Surface form Disambiguated ID Type / Status
Subject Lady Diana Egerton E349479 entity
Predicate familyName P18 FINISHED
Object Egerton E179950 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: Egerton | Statement: [Lady Diana Egerton, familyName, Egerton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egerton
Context triple: [Lady Diana Egerton, familyName, Egerton]
  • A. Egerton chosen
    Egerton is an English surname historically associated with a prominent aristocratic family influential in British politics, industry, and culture.
  • B. Collycroft
    Collycroft is a residential area and suburb within the town of Bedworth in Warwickshire, England.
  • C. Egton
    Egton is a rural village and civil parish in North Yorkshire, England, situated within the scenic North York Moors National Park.
  • D. Blatchford
    Blatchford is a sustainable, mixed-use residential community being developed on the former Edmonton City Centre Airport lands in Edmonton, Alberta.
  • E. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded573cba881908d6d9ac570a64e5f completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe650c41b081909cdadbaec472eee3 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.