Triple

T23339662
Position Surface form Disambiguated ID Type / Status
Subject Virginia Cathryn Rowlands E591699 entity
Predicate spouse P13 FINISHED
Object Robert Forrest NE NERFINISHED

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: Robert Forrest | Statement: [Virginia Cathryn Rowlands, spouse, Robert Forrest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Forrest
Context triple: [Virginia Cathryn Rowlands, spouse, Robert Forrest]
  • A. Robert Forrest chosen
    Robert Forrest is the husband of acclaimed American actress Gena Rowlands.
  • B. Henry McDaniel
    Henry McDaniel was the father of Academy Award–winning actress Hattie McDaniel, known primarily in historical records for this parental connection.
  • C. Philip Woodruff
    Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
  • D. George Faulkner
    George Faulkner is an architect best known as a founding figure of the British architectural practice FaulknerBrowns Architects.
  • E. Charles Faulkner
    Charles Faulkner was a 19th-century British designer and partner in the influential Arts and Crafts firm Morris, Marshall, Faulkner & Co.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198317f4c8190a557cacb86568d6c completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:18 p.m.