Triple

T8067867
Position Surface form Disambiguated ID Type / Status
Subject Alex Kozinski E188290 entity
Predicate appointedBy P257 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: [Alex Kozinski, appointedBy, Ronald Reagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronald Reagan
Context triple: [Alex Kozinski, appointedBy, 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff8a4fc8190a97fc7111ca7ec4d completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63e587908190980f1f026f4aa153 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:27 p.m.