Triple

T20740803
Position Surface form Disambiguated ID Type / Status
Subject Yvette Marie Stevens E510434 entity
Predicate givenName P17 FINISHED
Object Yvette 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: Yvette | Statement: [Yvette Marie Stevens, givenName, Yvette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yvette
Context triple: [Yvette Marie Stevens, givenName, Yvette]
  • A. Yvette chosen
    Yvette is the given first name of the acclaimed American singer Chaka Khan.
  • B. Yvette
    Yvette is a river in northern France that flows through the Île-de-France region and serves as a tributary of the Orge.
  • C. Yvette
    Yvette is a character in the Anita Blake: Vampire Hunter series who becomes romantically involved with Joseph "Jody" Summers, leading to significant personal and supernatural conflict.
  • D. 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.
  • 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 (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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20e76ac8190985203b2c17aca14 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:32 p.m.