Triple

T8738659
Position Surface form Disambiguated ID Type / Status
Subject Britt Ekland E207448 entity
Predicate givenName P17 FINISHED
Object Britt-Marie E754814 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: Britt-Marie | Statement: [Britt Ekland, givenName, Britt-Marie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Britt-Marie
Context triple: [Britt Ekland, givenName, Britt-Marie]
  • A. Britt-Marie Eklund chosen
    Britt-Marie Eklund is the Swedish-born actress and singer better known as Britt Ekland, famed for her roles in films like "The Man with the Golden Gun" and "The Wicker Man."
  • B. Gerda
    Gerda is the brave and devoted young heroine of Hans Christian Andersen’s fairy tale who embarks on a perilous journey to rescue her friend Kai from the Snow Queen.
  • C. Rebecka
    Rebecka is a feminine given name, commonly used as a spelling variant of Rebecca in various European countries.
  • D. Helga
    Helga is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • E. Mrs. Soffel
    Mrs. Soffel is a 1984 American period crime drama film starring Diane Keaton and Mel Gibson, based on the true story of a warden’s wife who helps two convicted murderers escape from a Pittsburgh prison.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d470c8c81909ead395ef704c6ba completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf517c6fac8190b782c8f441635814 completed April 3, 2026, 5:34 a.m.
Created at: March 30, 2026, 6:38 p.m.