Triple

T19378955
Position Surface form Disambiguated ID Type / Status
Subject George Yardley E484746 entity
Predicate familyName P18 FINISHED
Object Yardley NE NERFINISHED

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: Yardley | Statement: [George Yardley, familyName, Yardley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yardley
Context triple: [George Yardley, familyName, Yardley]
  • A. Yardley chosen
    Yardley is a suburban area of Birmingham, England, known for its historic village core and preserved Tudor-era buildings.
  • B. Milldown
    Milldown is a notable summit in the Rhinns of Kells range in the Galloway Hills of southwest Scotland, popular with hillwalkers for its rounded grassy slopes and expansive views.
  • C. Rowley
    Rowley is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
  • D. Rowley
    Rowley is a small historic town in northeastern Massachusetts known for its colonial heritage and rural New England character.
  • E. Purleigh
    Purleigh is a rural village and civil parish in Essex, England, known for its historic church, countryside setting, and traditional English character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61a5e8e7081908bed3eee1eef4de2 completed April 20, 2026, 12:21 p.m.
Created at: April 10, 2026, 1:35 p.m.