Triple

T12082472
Position Surface form Disambiguated ID Type / Status
Subject Barbara Cushing Mortimer E287713 entity
Predicate familyName P18 FINISHED
Object Cushing E232009 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: Cushing | Statement: [Barbara Cushing Mortimer, familyName, Cushing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cushing
Context triple: [Barbara Cushing Mortimer, familyName, Cushing]
  • A. Cushing chosen
    Cushing is a surname most notably associated with American jurist and Squaw Valley Ski Resort founder Alexander Cushing, as well as a prominent New England family with historical influence in law and politics.
  • B. Burdinne
    Burdinne is a rural municipality in the province of Liège in Wallonia, Belgium, known for its agricultural landscape and small villages.
  • C. Coxen
    Coxen is a surname variant of Cox, typically of English origin.
  • D. Krause
    Krause is a German-origin surname borne by numerous notable individuals across sports, politics, science, and the arts.
  • E. Collip
    Collip is a surname most notably associated with James Collip, a Canadian biochemist who was part of the team that developed insulin as a treatment for diabetes.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915124e4c8190b0264c2a09e3c2f3 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66509208190b7206e78df41c2fe completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.