Triple

T14330050
Position Surface form Disambiguated ID Type / Status
Subject César Award for Best Supporting Actress E355320 entity
Predicate hasNotableRecipient P108 FINISHED
Object Kristin Scott Thomas E53718 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: Kristin Scott Thomas | Statement: [César Award for Best Supporting Actress, hasNotableRecipient, Kristin Scott Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristin Scott Thomas
Context triple: [César Award for Best Supporting Actress, hasNotableRecipient, Kristin Scott Thomas]
  • A. Kristin Scott Thomas chosen
    Kristin Scott Thomas is an acclaimed British actress known for her nuanced performances in films such as "The English Patient," "Four Weddings and a Funeral," and "The Horse Whisperer."
  • B. Maggie Macfadyen
    Maggie Macfadyen is the daughter of British actor Matthew Macfadyen and his wife, actress Keeley Hawes.
  • C. Lesley-Anne Down
    Lesley-Anne Down is an English actress and former model known for her roles in film and television, including prominent appearances in both British and American productions.
  • D. Emily Mortimer
    Emily Mortimer is a British actress known for her versatile film and television roles, including performances in projects like "Mary Poppins Returns," "Match Point," and "The Newsroom."
  • E. Jemma Redgrave
    Jemma Redgrave is a British actress best known for her work in television dramas and for playing prominent roles in long-running series such as Doctor Who.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1def0081908f03cda8e84d20c0 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2a938081909ccd9fe7c5021dc6 completed May 9, 2026, 3 p.m.
Created at: April 10, 2026, 1:13 a.m.