Triple

T5453444
Position Surface form Disambiguated ID Type / Status
Subject La Mer E122422 entity
Predicate title P38 FINISHED
Object La Mer E260429 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 Mer | Statement: [La Mer, title, La Mer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Mer
Context triple: [La Mer, title, La Mer]
  • A. La Mer chosen
    La Mer is an impressionistic orchestral composition by Claude Debussy that evocatively depicts the shifting moods and colors of the sea.
  • B. Le Soleil des eaux
    Le Soleil des eaux is a modernist vocal-orchestral work by Pierre Boulez, based on poems by René Char and known for its complex serial techniques and evolving revisions.
  • C. Les Ciel et Marine
    Les Ciel et Marine is the popular nickname of French football club Le Havre AC, referring to its traditional sky blue and navy colors.
  • D. Le Bateau ivre
    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.
  • E. Le Mistral
    Le Mistral was the original name of the iconic English-language Parisian bookshop later known as Shakespeare and Company.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91e170f48190b47419b5e2ff71a4 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4140248081908c7f42b91579a837 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:08 p.m.