Triple

T8676568
Position Surface form Disambiguated ID Type / Status
Subject Gaspard de la nuit E205929 entity
Predicate titleTranslation P38 FINISHED
Object Gaspard of the Night E205929 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: Gaspard of the Night | Statement: [Gaspard de la nuit, titleTranslation, Gaspard of the Night]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gaspard of the Night
Context triple: [Gaspard de la nuit, titleTranslation, Gaspard of the Night]
  • A. Gaspard de la nuit chosen
    Gaspard de la nuit is a notoriously difficult three-movement piano suite by Maurice Ravel, inspired by Aloysius Bertrand’s dark, fantastical prose poems.
  • B. Fuente de la Noche
    Fuente de la Noche is a decorative public fountain located within Mexico City’s historic Alameda Central park.
  • C. Le Démon Blond
    Le Démon Blond is the famous French nickname of legendary Montreal Canadiens right winger Guy Lafleur, known for his speed, flair, and flowing blond hair.
  • D. La Nuit
    La Nuit is a literary work, likely a novel or story, associated with the same author as L’Aube and thematically linked by its focus on darkness or night.
  • E. Terret Noir
    Terret Noir is a light-colored, relatively rare French wine grape variety traditionally used in southern Rhône and Languedoc blends for its freshness and acidity.
  • 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_69cc49f67cdc819092d1ca541c6d22b9 completed March 31, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3a008d48190bd0e58f615eda148 completed April 2, 2026, 10:54 p.m.
Created at: March 30, 2026, 6:32 p.m.