Triple

T10297359
Position Surface form Disambiguated ID Type / Status
Subject Laurent Boutonnat E241526 entity
Predicate wrote P2831 FINISHED
Object “L’Alizé” E532585 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: “L’Alizé” | Statement: [Laurent Boutonnat, wrote, “L’Alizé”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: “L’Alizé”
Context triple: [Laurent Boutonnat, wrote, “L’Alizé”]
  • A. L'Alizé chosen
    L'Alizé is a 2000 French pop song by singer Alizée that became a major hit across Europe and helped launch her international career.
  • B. L’Azur
    L’Azur is a celebrated poem by Stéphane Mallarmé, noted for its symbolist exploration of the sky, the infinite, and existential anguish.
  • C. La Bella Airosa
    La Bella Airosa is a poetic nickname for the Mexican city of Pachuca, highlighting its famously windy climate and picturesque character.
  • D. Le Capricieux
    Le Capricieux is a satirical poetic work by the French writer Jean-Baptiste Rousseau, reflecting his sharp wit and mastery of classical verse.
  • E. L’Air
    L’Air is a celebrated early 20th-century sculpture by Aristide Maillol that exemplifies his serene, classical approach to the female form.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ebd258819099fadddcd13099fc completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d2cc9c48190bc36f6a4f8144b7f completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:43 a.m.