Triple

T1467462
Position Surface form Disambiguated ID Type / Status
Subject La République En Marche! E27056 entity
Predicate supportedCandidate P4806 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: [La République En Marche!, supportedCandidate, Emmanuel Macron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmanuel Macron
Context triple: [La République En Marche!, supportedCandidate, 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. Jean-Michel Macron
    Jean-Michel Macron is a French neurologist and the father of Emmanuel Macron, the President of France.
  • C. Manuel Valls
    Manuel Valls is a French politician who served as Prime Minister of France in the mid-2010s and was previously Minister of the Interior and a leading figure in the Socialist Party.
  • D. Édouard Philippe
    Édouard Philippe is a French politician who served as Prime Minister of France from 2017 to 2020 under President Emmanuel Macron.
  • E. François Hollande
    François Hollande is a French Socialist politician who served as President of France from 2012 to 2017.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5bcfa0881909d6137c69825bc7a completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad51a514908190b782eb1ca98d5b4c completed March 8, 2026, 10:38 a.m.
Created at: March 1, 2026, 8:01 p.m.