Triple

T14254736
Position Surface form Disambiguated ID Type / Status
Subject John Bagley E353354 entity
Predicate familyName P18 FINISHED
Object Bagley E656481 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: Bagley | Statement: [John Bagley, familyName, Bagley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagley
Context triple: [John Bagley, familyName, Bagley]
  • A. Bagley chosen
    Bagley is an English-language surname borne by various notable individuals across fields such as politics, the arts, and academia.
  • B. Banagher
    Banagher is a small Irish town in County Offaly known for its historic bridge over the River Shannon and its traditional boating and angling activities.
  • C. Bartley
    Bartley is a surname most notably associated with American philosopher and scholar William W. Bartley.
  • D. Baguley
    Baguley is a suburban area in Wythenshawe, south Manchester, England, known primarily as a residential district with local transport links and amenities.
  • E. Balfe
    Balfe is a surname of Irish origin borne by various notable individuals in fields such as music, acting, and politics.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62992a188190bc046fbab5a149d6 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325c98288190ba035fb5cc5bcf6b completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.