Triple

T11869602
Position Surface form Disambiguated ID Type / Status
Subject Yvette Mimieux E282371 entity
Predicate givenName P17 FINISHED
Object Yvette E510434 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: Yvette | Statement: [Yvette Mimieux, givenName, Yvette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yvette
Context triple: [Yvette Mimieux, givenName, Yvette]
  • A. Yvette chosen
    Yvette is the given first name of the acclaimed American singer Chaka Khan.
  • B. Yvonne
    Yvonne is a central comedic protagonist in the 1967 British satirical film "Smashing Time," known for her misadventures in swinging London.
  • C. Yvonne
    Yvonne is a character in the musical "Sunday in the Park with George," known as the wife of artist Jules and a figure in the 19th-century Parisian art world depicted in the show.
  • D. Yvonne
    Yvonne is a fictional character in Jean-Luc Godard’s 1967 French New Wave film "La Chinoise," which explores radical student politics in Paris.
  • E. Yvonne
    Yvonne is a central character in the stage musical "Sunshine on Leith," which is built around the songs of The Proclaimers.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73c04e4819084c0b2ff8e5d2f04 completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43fc3f6688190aec5c0b481cfc77f completed May 1, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:43 p.m.