Triple

T9444672
Position Surface form Disambiguated ID Type / Status
Subject Robin Dole E227733 entity
Predicate hasRelative P367 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: [Robin Dole, hasRelative, Phyllis Holden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phyllis Holden
Context triple: [Robin Dole, hasRelative, 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 Love
    Phyllis Love was an American stage and screen actress known for her work in mid-20th-century films and Broadway productions.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f32aee88190a43573f97fa1e49d completed April 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c79bc53481908552af9ebd582edf completed April 18, 2026, 6:04 p.m.
Created at: March 30, 2026, 7:51 p.m.