Triple

T20365165
Position Surface form Disambiguated ID Type / Status
Subject Matthew Stafford E496888 entity
Predicate familyName P18 FINISHED
Object Stafford 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: Stafford | Statement: [Matthew Stafford, familyName, Stafford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stafford
Context triple: [Matthew Stafford, familyName, Stafford]
  • A. Stafford
    Stafford is a county in Northern Virginia known for its suburban communities, historical sites, and proximity to Washington, D.C.
  • B. Stafford
    Stafford is a historic market town in Staffordshire, England, known for its medieval castle, role as the county town, and long-standing regional administrative importance.
  • C. Stafford
    Stafford is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • D. Stafford chosen
    Stafford is a surname of English origin borne by numerous notable individuals, including politicians, athletes, and artists.
  • E. Bedford
    Bedford is a small suburban city located in northeastern Ohio within the Greater Cleveland metropolitan area.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67870f4448190ab63cbe03542de21 completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.