Triple

T2374842
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Dole E46172 entity
Predicate familyName P18 FINISHED
Object Dole E227732 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: Dole | Statement: [Elizabeth Dole, familyName, Dole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dole
Context triple: [Elizabeth Dole, familyName, Dole]
  • A. Dole chosen
    Dole is a surname most prominently associated with American politician and former U.S. Senator Bob Dole.
  • B. Dole
    Dole is a historic town in eastern France known for its well-preserved old center and as the birthplace of scientist Louis Pasteur.
  • C. Banana
    Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
  • D. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • E. Avoca
    Avoca is a small city located in Pottawattamie County in southwestern Iowa, United States.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7935fe881909696a3ce27822db4 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8a8c2b88190a18dbf35d745958f completed March 9, 2026, 11:02 a.m.
Created at: March 4, 2026, 7:56 p.m.