Triple

T8950687
Position Surface form Disambiguated ID Type / Status
Subject Charles Michel E213337 entity
Predicate succeededBy P78 FINISHED
Object Sophie Wilmès E192717 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: Sophie Wilmès | Statement: [Charles Michel, succeededBy, Sophie Wilmès]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophie Wilmès
Context triple: [Charles Michel, succeededBy, Sophie Wilmès]
  • A. Sophie Wilmès chosen
    Sophie Wilmès is a Belgian liberal politician who became the country’s first female prime minister, leading the federal government during the initial phase of the COVID-19 pandemic.
  • B. Celine Buckens
    Celine Buckens is a Belgian-born British actress best known for her breakout role in Steven Spielberg’s film "War Horse" and subsequent work in television dramas.
  • C. Maria Nys
    Maria Nys was a Belgian-born woman best known as the first wife of English writer Aldous Huxley and a central figure in his personal and social life.
  • D. Anne-Sophie Nyssen
    Anne-Sophie Nyssen is a Belgian academic and university leader who serves as rector of the University of Liège.
  • E. Kim Mestdagh
    Kim Mestdagh is a Belgian professional basketball player known as a key shooting guard for Belgium’s national team and for her successful international club career.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670c7244819084978922a9835bc9 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc20a5ab481909e10f3abf679ec4c completed April 3, 2026, 1:35 p.m.
Created at: March 30, 2026, 6:59 p.m.