Triple

T20978498
Position Surface form Disambiguated ID Type / Status
Subject Spleen et Idéal E516688 entity
Predicate containsPoem P21160 FINISHED
Object La Chevelure — NE NERFINISHED

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 Chevelure | Statement: [Spleen et Idéal, containsPoem, La Chevelure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Chevelure
Context triple: [Spleen et Idéal, containsPoem, La Chevelure]
  • A. La Chevelure chosen
    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.
  • B. La Comtoise
    La Comtoise is a major French motorway (the A36) that links the regions of Burgundy and Franche-Comté, serving as an important east–west route in eastern France.
  • C. La Lézarde
    La Lézarde is a novel by Édouard Glissant that explores anti-colonial struggle and Caribbean identity through the intertwined lives of villagers in Martinique.
  • D. Le Teilleul
    Le Teilleul is a commune in the Manche department of northwestern France, known for its rural character within the Normandy region.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba65b0881908bc00981053edb68 completed April 21, 2026, 4:23 a.m.
Created at: April 16, 2026, 1:47 p.m.