Triple

T22791086
Position Surface form Disambiguated ID Type / Status
Subject Ron Ridenhour Courage Prize E564110 entity
Predicate hasAwarded P2391 FINISHED
Object Katherine Gun 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: Katherine Gun | Statement: [Ron Ridenhour Courage Prize, hasAwarded, Katherine Gun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katherine Gun
Context triple: [Ron Ridenhour Courage Prize, hasAwarded, Katherine Gun]
  • A. Katharine Gun chosen
    Katharine Gun is a former British intelligence translator and whistleblower known for leaking a classified memo about a U.S. spying operation aimed at influencing United Nations diplomats before the 2003 Iraq War.
  • B. Fiona Hill
    Fiona Hill is a British-American foreign policy expert and former U.S. National Security Council official known for her expertise on Russia and her testimony in the first Trump impeachment inquiry.
  • C. Kate Miles
    Kate Miles is an actress known for her role in the acclaimed British television drama "Longford."
  • D. Judy Leeson
    Judy Leeson is the wife of British actor John Leeson, best known as the voice of K-9 in the classic Doctor Who television series.
  • E. Diane Brodie
    Diane Brodie is known as the spouse of American football quarterback Chris Chandler.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c3545fc819084af67cc25e94839 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:30 p.m.