Triple

T12661696
Position Surface form Disambiguated ID Type / Status
Subject Courante E302440 entity
Predicate hasVariant P455 FINISHED
Object French courante E302440 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: French courante | Statement: [Courante, hasVariant, French courante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: French courante
Context triple: [Courante, hasVariant, French courante]
  • A. Courante chosen
    Courante is a lively Baroque dance in triple meter, commonly used as a standard movement in instrumental suites by composers such as J.S. Bach.
  • B. French Cancan
    French Cancan is a 1955 French musical film by Jean Renoir that colorfully dramatizes the origins of the cancan dance in Paris’s Montmartre.
  • C. Calaisienne
    Calaisienne is the French term for a female inhabitant or native of the port city of Calais in northern France.
  • D. La Belle Noiseuse
    La Belle Noiseuse is a 1991 French drama film by Jacques Rivette that explores the intense, time-consuming creation of a masterpiece painting and the complex relationship between an aging artist and his young model.
  • E. Rigaudon
    Rigaudon is a lively French baroque dance in duple meter, often characterized by its sprightly rhythm and symmetrical phrasing.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617c5b888190b37d4ede139bb49e completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688819fc8190bc03a1a11f96d25f completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:19 p.m.