Triple

T446761
Position Surface form Disambiguated ID Type / Status
Subject Charlemagne Prize E7037 entity
Predicate notableRecipient P108 FINISHED
Object Emmanuel Macron E4773 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: Emmanuel Macron | Statement: [Charlemagne Prize, notableRecipient, Emmanuel Macron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmanuel Macron
Context triple: [Charlemagne Prize, notableRecipient, Emmanuel Macron]
  • A. Emmanuel Macron chosen
    Emmanuel Macron is a French politician and former investment banker who has served as President of France since 2017, known for his centrist, pro-European Union stance.
  • B. François Hollande
    François Hollande is a French Socialist politician who served as President of France from 2012 to 2017.
  • C. Valérie Pécresse
    Valérie Pécresse is a French center-right politician who has served as president of the Île-de-France regional council and was a prominent candidate in the 2022 French presidential election.
  • D. Brigitte Macron
    Brigitte Macron is a French former teacher and the First Lady of France, known for her prominent public role alongside President Emmanuel Macron.
  • E. Jacques Chirac
    Jacques Chirac was a French statesman who served as President of France from 1995 to 2007 and was a prominent figure in European and international politics for several decades.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef62c7a88190851fcd57658b4102 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a442a6abac81909f23975fabd7e90a completed March 1, 2026, 1:44 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.