Triple

T19366256
Position Surface form Disambiguated ID Type / Status
Subject Yvonne Chan E484410 entity
Predicate givenName P17 FINISHED
Object Yvonne 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: Yvonne | Statement: [Yvonne Chan, givenName, Yvonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yvonne
Context triple: [Yvonne Chan, givenName, Yvonne]
  • A. Yvonne chosen
    Yvonne is a feminine given name of French origin, derived from "yew" and historically associated with archery and nobility.
  • 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 (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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619ac26d4819095836d737b629cf1 completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:35 p.m.