Triple

T15846145
Position Surface form Disambiguated ID Type / Status
Subject Sylvanie Burton E384217 entity
Predicate precededBy P97 FINISHED
Object Charles Savarin E379639 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: Charles Savarin | Statement: [Sylvanie Burton, precededBy, Charles Savarin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Savarin
Context triple: [Sylvanie Burton, precededBy, Charles Savarin]
  • A. Charles Savarin chosen
    Charles Savarin is a Dominican politician and former trade unionist who has served as the President of Dominica.
  • B. Emil Fouchon
    Emil Fouchon is the ruthless mercenary leader and primary villain portrayed by Lance Henriksen in the 1993 action film "Hard Target."
  • C. Michel Parmentier
    Michel Parmentier was a French abstract painter and co-founder of the minimalist BMPT group, known for his rigorously repetitive striped canvases and radical stance against traditional artistic expression.
  • D. Jean Bardin
    Jean Bardin was an 18th-century French painter and influential art teacher known for his historical and religious compositions.
  • E. Michel Vion
    Michel Vion is a former French alpine skier who later became a prominent sports official, notably delivering the officials' oath at the 1992 Winter Olympics.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca636048190bc89cd8b4efa89e9 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fff7924b148190a470f86d5ca8882c completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:50 a.m.