Triple

T3463523
Position Surface form Disambiguated ID Type / Status
Subject Arthur Rimbaud E73081 entity
Predicate wrote P2831 FINISHED
Object Le Bateau ivre E358692 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: Le Bateau ivre | Statement: [Arthur Rimbaud, wrote, Le Bateau ivre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Le Bateau ivre
Context triple: [Arthur Rimbaud, wrote, Le Bateau ivre]
  • A. Le Bateau ivre chosen
    Le Bateau ivre is a seminal symbolist poem by Arthur Rimbaud, celebrated for its vivid imagery and revolutionary free-form exploration of a drifting, visionary consciousness.
  • B. Les Travailleurs de la mer
    Les Travailleurs de la mer is a novel by Victor Hugo that dramatizes human struggle against the sea and industrial progress, set on the island of Guernsey.
  • C. La Mer
    La Mer is an impressionistic orchestral composition by Claude Debussy that evocatively depicts the shifting moods and colors of the sea.
  • D. La Canebière
    La Canebière is Marseille’s historic main boulevard, known for its shops, cafés, and role as a central artery linking the Old Port to the rest of the city.
  • E. La Môle
    La Môle is a central fictional nobleman and lover in Alexandre Dumas’s historical novel "Queen Margot," set amid the intrigues and violence of 16th-century France.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb0b73f481908c9f8d2b9b9bbbaf completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680412c0819086da51a05b24a676 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.