Triple

T8758325
Position Surface form Disambiguated ID Type / Status
Subject The Ron Reagan Show E208128 entity
Predicate hostedBy P613 FINISHED
Object Ron Reagan E39069 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: Ron Reagan | Statement: [The Ron Reagan Show, hostedBy, Ron Reagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Reagan
Context triple: [The Ron Reagan Show, hostedBy, Ron Reagan]
  • A. Ron Reagan chosen
    Ron Reagan is an American political commentator, radio host, and the son of former U.S. President Ronald Reagan.
  • B. 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.
  • 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. 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.
  • E. Ronald Reagan
    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.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ddc2d9c81908948aee2b956cce4 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb7b08488190ba276e7b665e3ea4 completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 6:40 p.m.