Triple

T15262221
Position Surface form Disambiguated ID Type / Status
Subject John Field E364807 entity
Predicate notableWork P4 FINISHED
Object Nocturnes E717541 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: Nocturnes | Statement: [John Field, notableWork, Nocturnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nocturnes
Context triple: [John Field, notableWork, Nocturnes]
  • A. 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.
  • B. Nocturnes chosen
    Nocturnes is a celebrated collection of lyrical and expressive piano pieces by Frédéric Chopin that helped define the Romantic nocturne genre.
  • C. Nocturnes
    Nocturnes is a section of Paul Verlaine’s poetry collection "Poèmes saturniens," featuring melancholic, musical poems that explore night, solitude, and introspection.
  • D. Nocturne
    "Nocturne" is a widely cherished Finnish poem by Eino Leino, known for its lyrical evocation of nature, melancholy, and introspection.
  • E. Nocturne
    "Nocturne" is a lyrical poem by Harlem Renaissance writer Gwendolyn Bennett that evokes nocturnal imagery to explore themes of beauty, longing, and Black identity.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084e85a08190b8e63598b9f6a535 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5fb8b30819096d31ba5884715c9 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:14 a.m.