Triple

T13711152
Position Surface form Disambiguated ID Type / Status
Subject Édouard Glissant E328773 entity
Predicate awardReceivedFor P107 FINISHED
Object La Lézarde E1056596 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: La Lézarde | Statement: [Édouard Glissant, awardReceivedFor, La Lézarde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Lézarde
Context triple: [Édouard Glissant, awardReceivedFor, La Lézarde]
  • A. La Lézarde chosen
    La Lézarde is a novel by Édouard Glissant that explores anti-colonial struggle and Caribbean identity through the intertwined lives of villagers in Martinique.
  • B. Le Loup
    Le Loup is a ballet choreographed by Roland Petit, known for its dramatic narrative and expressive, modern theatrical style.
  • C. La Sablonière
    La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
  • D. La Chevelure
    La Chevelure is a poem by Charles Baudelaire, celebrated for its sensual evocation of a lover’s hair and often associated with his muse Jeanne Duval.
  • E. Le Feu
    Le Feu is a seminal anti-war novel by Henri Barbusse that vividly depicts the grim realities of French soldiers’ experiences in the trenches during World War I.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a845a29c81908096a785f5af5521 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:54 p.m.