Triple

T11228708
Position Surface form Disambiguated ID Type / Status
Subject Fiona Shaw E265763 entity
Predicate name P16 FINISHED
Object Fiona Shaw E265763 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: Fiona Shaw | Statement: [Fiona Shaw, name, Fiona Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiona Shaw
Context triple: [Fiona Shaw, name, Fiona Shaw]
  • A. Fiona Shaw chosen
    Fiona Shaw is an acclaimed Irish actress and theatre director known for her powerful stage performances and memorable film roles, including appearances in the Harry Potter series and numerous prestige dramas.
  • B. Geraldine McEwan
    Geraldine McEwan was an acclaimed English actress known for her versatile stage and screen performances, including her celebrated portrayal of Agatha Christie's Miss Marple.
  • C. Greta Scacchi
    Greta Scacchi is an Italian-Australian actress known for her work in international cinema and television, including acclaimed performances in films such as "White Mischief" and "The Player."
  • D. Eleanor Bron
    Eleanor Bron is a British actress and writer known for her distinctive, often imperious screen presence in film, television, and theatre.
  • E. Anna Chancellor
    Anna Chancellor is a British actress known for her work in film, television, and theatre, including notable roles in productions such as "Four Weddings and a Funeral" and various acclaimed TV dramas.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e900fbcc8190a3177f8a73564433 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6241c42fc8190a8539406248a535c completed April 20, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:30 p.m.