Triple

T8674279
Position Surface form Disambiguated ID Type / Status
Subject Piano Book E205874 entity
Predicate includesWork P2011 FINISHED
Object Clair de lune E260430 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: Clair de lune | Statement: [Piano Book, includesWork, Clair de lune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clair de lune
Context triple: [Piano Book, includesWork, Clair de lune]
  • A. Clair de lune chosen
    Clair de lune is a lyrical and atmospheric piano piece by Claude Debussy, renowned as one of the most iconic works of Impressionist music.
  • B. Les Nuits de la pleine lune
    Les Nuits de la pleine lune is a 1984 French drama film directed by Éric Rohmer, known as one of his "Comedies and Proverbs" that explores love, independence, and urban life in 1980s Paris.
  • C. By the Light of the Moon
    "By the Light of the Moon" is a 1987 studio album by American rock band Los Lobos that blends rock, blues, and traditional Mexican influences.
  • D. Serenata
    Serenata is a musical composition by Portuguese composer Alfredo Keil, best known for its lyrical, romantic character within his body of work.
  • E. Nocturne
    "Nocturne" is a widely cherished Finnish poem by Eino Leino, known for its lyrical evocation of nature, melancholy, 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc491cee048190a6f6cddabada76dc completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd43c91c8190a9d1e5d14d764530 completed April 2, 2026, 8:10 p.m.
Created at: March 30, 2026, 6:31 p.m.