Triple

T19803524
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Bartlett E475747 entity
Predicate hasSurname P18 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: [Elizabeth Bartlett, hasSurname, Bartlett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bartlett
Context triple: [Elizabeth Bartlett, hasSurname, Bartlett]
  • A. Bartlett
    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.
  • B. 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.
  • C. Bartlett chosen
    Bartlett is a common English surname borne by numerous notable individuals across fields such as politics, law, science, and the arts.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654266e18819085698aed8b0e2ba8 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.