Triple

T7008897
Position Surface form Disambiguated ID Type / Status
Subject Second Cold War E162527 entity
Predicate hasKeyFigure P810 FINISHED
Object Ronald Reagan E2874 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: Ronald Reagan | Statement: [Second Cold War, hasKeyFigure, Ronald Reagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronald Reagan
Context triple: [Second Cold War, hasKeyFigure, Ronald Reagan]
  • A. Ronald Reagan chosen
    Ronald Reagan was the 40th president of the United States, known for his conservative economic policies, Cold War leadership, and influential role in reshaping American politics in the 1980s.
  • B. Neil Reagan
    Neil Reagan was an American radio and television producer and advertising executive, best known as the older brother of U.S. President Ronald Reagan.
  • C. Jack Reagan
    Jack Reagan was the father of U.S. President Ronald Reagan and worked as a traveling shoe salesman in the American Midwest.
  • D. Ron Reagan
    Ron Reagan is an American political commentator, radio host, and the son of former U.S. President Ronald Reagan.
  • E. Reagan
    Reagan is a given name commonly used in English-speaking countries for both males and females.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc38039c8190ab420d62bb11b4d9 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7883f0d988190b170901aea57d360 completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:33 p.m.