Triple

T10147608
Position Surface form Disambiguated ID Type / Status
Subject Charles Yorke E231743 entity
Predicate familyName P18 FINISHED
Object Yorke E231743 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: Yorke | Statement: [Charles Yorke, familyName, Yorke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yorke
Context triple: [Charles Yorke, familyName, Yorke]
  • A. Yorke chosen
    Yorke is an English surname historically associated with prominent figures in law, politics, and public life in Britain.
  • B. Blurton
    Blurton is a suburban area in Stoke-on-Trent, Staffordshire, England, known primarily as a residential community.
  • C. Gilmour
    Gilmour is a surname most prominently associated with Canadian former professional ice hockey player Doug Gilmour.
  • D. Sam Mills
    Sam Mills was a standout undersized linebacker and team leader in the NFL, best known for his Pro Bowl play and inspirational presence with the New Orleans Saints and Carolina Panthers.
  • E. James Yorke Scarlett
    James Yorke Scarlett was a British Army officer best known for leading the successful but overshadowed charge of the Heavy Brigade during the Battle of Balaclava in the Crimean War.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec011c24819089b456fc8b9ed80c completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3009992388190ab2a4aee23d0e004 completed April 6, 2026, 12:38 a.m.
Created at: March 30, 2026, 9:07 p.m.