Triple

T1759702
Position Surface form Disambiguated ID Type / Status
Subject Michael Reagan E38628 entity
Predicate sibling P363 FINISHED
Object Maureen Reagan E36450 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: Maureen Reagan | Statement: [Michael Reagan, sibling, Maureen Reagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maureen Reagan
Context triple: [Michael Reagan, sibling, Maureen Reagan]
  • A. Maureen Reagan chosen
    Maureen Reagan was an American political activist, television and radio personality, and the eldest daughter of U.S. President Ronald Reagan.
  • B. Christine Reagan
    Christine Reagan was the daughter of U.S. President Ronald Reagan and his first wife, actress Jane Wyman, and the younger sister of Maureen Reagan.
  • C. Betty Shannon
    Betty Shannon was an American mathematician and computer programmer known for her work at Bell Labs and as the wife and intellectual partner of information theory pioneer Claude Shannon.
  • D. Judy Agnew
    Judy Agnew was the wife of U.S. Vice President Spiro T. Agnew and served as Second Lady of the United States from 1969 to 1973.
  • E. Carol Cleveland
    Carol Cleveland is a British-American actress and comedian best known for her frequent appearances in the Monty Python television series and films.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa643f6a188190a250d5982badcce5 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ab3a140819081dbb7b19e33051c completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:31 p.m.