Triple

T20105638
Position Surface form Disambiguated ID Type / Status
Subject Bartlett Robinson E490163 entity
Predicate hasGivenName P17 FINISHED
Object Bartlett 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: Bartlett | Statement: [Bartlett Robinson, hasGivenName, Bartlett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bartlett
Context triple: [Bartlett Robinson, hasGivenName, Bartlett]
  • A. Bartlett
    Bartlett is a suburban commuter rail station in Bartlett, Illinois, serving passengers on Metra’s Milwaukee District West Line between Chicago and its western suburbs.
  • B. Bartlett
    Bartlett is a common English surname borne by numerous notable individuals across fields such as politics, law, science, and the arts.
  • C. Bartlett chosen
    Bartlett is a given name most notably borne by Bartlett S. Durham, the physician and landowner after whom the city of Durham, North Carolina, is named.
  • D. Westcott
    Westcott is a village in the Mole Valley district of Surrey, England, known for its rural setting in the Surrey Hills.
  • E. Belknap
    Belknap is a surname most notably associated with American actress Anna Belknap, known for her role on the television series "CSI: NY."
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666dbad30819082454f360f358131 completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:28 p.m.