Triple

T16693565
Position Surface form Disambiguated ID Type / Status
Subject Jeff Donnell E405653 entity
Predicate spouse P13 FINISHED
Object John Bricker E934515 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: John Bricker | Statement: [Jeff Donnell, spouse, John Bricker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Bricker
Context triple: [Jeff Donnell, spouse, John Bricker]
  • A. John W. Bricker chosen
    John W. Bricker was an American Republican politician who served as governor of Ohio and later as a U.S. senator.
  • B. Lloyd Bowers Taft
    Lloyd Bowers Taft was an American investment banker and the son of prominent U.S. Senator Robert A. Taft and grandson of President William Howard Taft.
  • C. John Spellman
    John Spellman was an American Republican politician who served as King County Executive before becoming the 18th governor of Washington state.
  • D. Robert A. Taft
    Robert A. Taft was a prominent mid-20th-century U.S. senator from Ohio, known as “Mr. Republican” for his influential conservative leadership and opposition to many New Deal and postwar internationalist policies.
  • E. Irving T. Bush
    Irving T. Bush was an American industrialist and entrepreneur best known for creating and managing the massive Bush Terminal complex in Brooklyn, a pioneering model of integrated urban freight and manufacturing facilities.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eab93a081909aedc45f3f8f0e10 completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00919acd308190a3f29040554b9cfc completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.