Triple

T13273742
Position Surface form Disambiguated ID Type / Status
Subject John Avlon E316132 entity
Predicate spouse P13 FINISHED
Object Margaret Hoover E80486 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: Margaret Hoover | Statement: [John Avlon, spouse, Margaret Hoover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Hoover
Context triple: [John Avlon, spouse, Margaret Hoover]
  • A. Margaret Hoover chosen
    Margaret Hoover is an American political commentator, author, and television host best known for hosting PBS’s "Firing Line" and for her work as a Republican strategist.
  • B. Margaret McConnell
    Margaret McConnell was the wife of British actor and comedian Deryck Guyler.
  • C. Peggy Noonan
    Peggy Noonan is an American political columnist, author, and former speechwriter best known for her work with President Ronald Reagan and her influential commentary in The Wall Street Journal.
  • D. Ann Coulter
    Ann Coulter is a conservative American political commentator, author, and lawyer known for her provocative and often controversial commentary on U.S. politics and culture.
  • E. Geneva Dowd
    Geneva Dowd was the wife of American singer and talk show host Mike Douglas.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9904193bc8190af4155750bcf32f6 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a51d458819080b8c8f3a4df0f52 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:26 p.m.