Triple

T14230338
Position Surface form Disambiguated ID Type / Status
Subject Frank Hamilton Cushing E352732 entity
Predicate hasFamilyName 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: [Frank Hamilton Cushing, hasFamilyName, Cushing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cushing
Context triple: [Frank Hamilton Cushing, hasFamilyName, 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. Chrebet
    Chrebet is the surname of former New York Jets wide receiver Wayne Chrebet, who became a fan favorite for his toughness and clutch performances in the NFL.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622b89fc8190af08dab9e1976759 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd2819bfec8190b555632338c53740 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:07 a.m.