Triple

T5611181
Position Surface form Disambiguated ID Type / Status
Subject Ronald Reagan UCLA Medical Center E147359 entity
Predicate namedAfter P63 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: [Ronald Reagan UCLA Medical Center, namedAfter, Ronald Reagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronald Reagan
Context triple: [Ronald Reagan UCLA Medical Center, namedAfter, 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0211fad448190b068b77ed25931d5 completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cf1c66c819099e2cde5e1c7bec0 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:39 p.m.