Triple

T12453333
Position Surface form Disambiguated ID Type / Status
Subject Bob Dole E297588 entity
Predicate spouse P13 FINISHED
Object Phyllis Holden E297588 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: Phyllis Holden | Statement: [Bob Dole, spouse, Phyllis Holden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phyllis Holden
Context triple: [Bob Dole, spouse, Phyllis Holden]
  • A. Phyllis Holden chosen
    Phyllis Holden was an American occupational therapist best known as the first wife of longtime U.S. Senator and 1996 Republican presidential nominee Bob Dole.
  • B. Phyllis Garr
    Phyllis Garr is the mother of American actress and comedian Teri Garr.
  • C. Phyllis Munday
    Phyllis Munday was a pioneering Canadian mountaineer and explorer renowned for her early ascents and significant contributions to mountaineering in British Columbia.
  • D. Phyllis Ferguson
    Phyllis Ferguson is known as the spouse of Canadian filmmaker and IMAX co-inventor Graeme Ferguson.
  • E. Phyllis Cook
    Phyllis Cook is a Jewish community leader and philanthropist known for her instrumental role in establishing and supporting major Jewish cultural and educational institutions.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da0b5988190b9df26dd3bb87337 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a535943081909f893b2be006cc28 completed May 3, 2026, 1:30 a.m.
Created at: April 8, 2026, 9:56 p.m.