Triple

T11382020
Position Surface form Disambiguated ID Type / Status
Subject Roger Clinton Jr. E269617 entity
Predicate hasRelative P367 FINISHED
Object Virginia Kelley E373268 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: Virginia Kelley | Statement: [Roger Clinton Jr., hasRelative, Virginia Kelley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virginia Kelley
Context triple: [Roger Clinton Jr., hasRelative, Virginia Kelley]
  • A. Virginia Kelley chosen
    Virginia Kelley was the mother of former U.S. President Bill Clinton and a nurse anesthetist from Arkansas whose life and memoir gained public attention during and after her son's political rise.
  • B. Sheila Kelley
    Sheila Kelley is an American actress and dancer best known for her roles in film and television and for founding the S Factor pole-dance fitness movement.
  • C. Grace Calhoun
    Grace Calhoun is a collegiate athletics administrator known for leading major university sports programs, including serving as athletic director for Brown University's Brown Bears.
  • D. Linda Steele
    Linda Steele is known as the wife of British speculative fiction author Michael Moorcock.
  • E. Rachel Keller
    Rachel Keller is an American actress known for her roles in television series such as Fargo, Legion, and Tokyo Vice.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc331f188190a7f69f1aae53fb6b completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6e7580c508190a81eadd9015c75ef completed April 21, 2026, 2:56 a.m.
Created at: April 8, 2026, 9:34 p.m.