Triple

T9711846
Position Surface form Disambiguated ID Type / Status
Subject Helkavirsiä E235040 entity
Predicate hasPoem P21160 FINISHED
Object Nocturne E235041 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: Nocturne | Statement: [Helkavirsiä, hasPoem, Nocturne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nocturne
Context triple: [Helkavirsiä, hasPoem, Nocturne]
  • A. Nocturne chosen
    "Nocturne" is a widely cherished Finnish poem by Eino Leino, known for its lyrical evocation of nature, melancholy, and introspection.
  • B. Nocturnes
    Nocturnes is an orchestral composition by Claude Debussy, celebrated for its impressionistic evocation of night atmospheres and innovative use of tone color and harmony.
  • C. Nocturnes
    Nocturnes is a celebrated collection of lyrical and expressive piano pieces by Frédéric Chopin that helped define the Romantic nocturne genre.
  • D. Prélude à la nuit
    Prélude à la nuit is the atmospheric first movement of Maurice Ravel’s orchestral suite Rapsodie espagnole, noted for its subtle Spanish color and nocturnal mood.
  • E. Notturno
    Notturno is a lyrical prose work by Italian writer Gabriele D’Annunzio, composed during his wartime blindness and reflecting on memory, suffering, and introspection.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0591208190aa57cc9e2aebafb7 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af9d6f148190b157cc7a0f91b387 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:19 p.m.