Triple

T14465405
Position Surface form Disambiguated ID Type / Status
Subject The Drunken Boat E358693 entity
Predicate originalTitle P65 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: [The Drunken Boat, originalTitle, Le Bateau ivre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Bateau ivre
Context triple: [The Drunken Boat, originalTitle, 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. Le Quai des brumes
    Le Quai des brumes is a classic 1938 French poetic realist film directed by Marcel Carné, renowned for its fatalistic love story and iconic performance by Jean Gabin.
  • D. La Mer
    La Mer is an impressionistic orchestral composition by Claude Debussy that evocatively depicts the shifting moods and colors of the sea.
  • E. La Mer
    La Mer is a luxury skincare brand renowned for its high-end moisturizers and anti-aging products formulated with its signature “Miracle Broth.”
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f6d4c08190a12e9a5901ee3508 completed April 14, 2026, 7:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6499c7188190a79411b471cfa7d4 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.