Triple

T2953969
Position Surface form Disambiguated ID Type / Status
Subject SAM 27000 E79886 entity
Predicate servedPresident P27373 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: [SAM 27000, servedPresident, Ronald Reagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronald Reagan
Context triple: [SAM 27000, servedPresident, 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. Ron Reagan
    Ron Reagan is an American political commentator, radio host, and the son of former U.S. President Ronald Reagan.
  • D. Reagan
    Reagan is a given name commonly used in English-speaking countries for both males and females.
  • E. Michael Reagan
    Michael Reagan is an American political commentator, author, and radio talk show host, known as the adopted son of former U.S. President Ronald Reagan and his first wife, Jane Wyman.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9e0fec048190bdd70c60ec5c92cd completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de92f04c8190967ec290cba891a6 completed March 11, 2026, 9:28 p.m.
Created at: March 8, 2026, 2:57 p.m.