Triple

T14210522
Position Surface form Disambiguated ID Type / Status
Subject Henri Barbusse E352214 entity
Predicate wrote P2831 FINISHED
Object Les Enchaînements E1088106 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: Les Enchaînements | Statement: [Henri Barbusse, wrote, Les Enchaînements]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Enchaînements
Context triple: [Henri Barbusse, wrote, Les Enchaînements]
  • A. Les Enchaînements chosen
    Les Enchaînements is a lesser-known literary work by French novelist and pacifist Henri Barbusse, reflecting his characteristic social and political engagement.
  • B. 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.
  • 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. 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. Les Écréhous
    Les Écréhous is a small, largely uninhabited group of islets and rocks in the English Channel, lying off the coast of Jersey and known for its wildlife and scenic seascapes.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620dba0c8190bb77a1df10e1d3a7 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d0cb3f88190813542f95ee360bf completed May 8, 2026, 1:31 a.m.
Created at: April 10, 2026, 1:05 a.m.