Triple

T15408069
Position Surface form Disambiguated ID Type / Status
Subject Yves E368514 entity
Predicate hasFeminineForm P1613 FINISHED
Object Yvonne E379250 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: Yvonne | Statement: [Yves, hasFeminineForm, Yvonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yvonne
Context triple: [Yves, hasFeminineForm, Yvonne]
  • A. Yvonne
    Yvonne is a central comedic protagonist in the 1967 British satirical film "Smashing Time," known for her misadventures in swinging London.
  • B. 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.
  • C. 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.
  • D. Yvonne
    Yvonne is a central character in the stage musical "Sunshine on Leith," which is built around the songs of The Proclaimers.
  • E. Yvonne chosen
    Yvonne is a feminine given name of French origin, derived from "yew" and historically associated with archery and nobility.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea36c6881909eaea48e9608897a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a716248819094fd8b205cc2a3f2 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:20 a.m.