Triple

T19746439
Position Surface form Disambiguated ID Type / Status
Subject Walter Mondale E474262 entity
Predicate child P120 FINISHED
Object Theodore Mondale 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: Theodore Mondale | Statement: [Walter Mondale, child, Theodore Mondale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theodore Mondale
Context triple: [Walter Mondale, child, Theodore Mondale]
  • A. Walter Mondale
    Walter Mondale was an American Democratic politician who served as the 42nd vice president of the United States under President Jimmy Carter and was the Democratic nominee for president in 1984.
  • B. Lester Mondale
    Lester Mondale was an American Unitarian minister and writer, known as a member of the prominent Mondale political family.
  • C. Ted Mondale chosen
    Ted Mondale is an American politician and businessman from Minnesota, known as the son of former U.S. Vice President Walter Mondale and for his service in the Minnesota Senate and various public leadership roles.
  • D. Joan Mondale
    Joan Mondale was an American arts advocate and Second Lady of the United States, known for her extensive promotion of the visual and performing arts.
  • E. Andrea Dukakis
    Andrea Dukakis is an American radio journalist and producer, known for her long-time reporting and storytelling work with Colorado Public Radio.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65294b4008190818eda40630f4147 completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:47 p.m.