Triple

T18129885
Position Surface form Disambiguated ID Type / Status
Subject Félix Rubén García Sarmiento E433980 entity
Predicate notableWork P4 FINISHED
Object Azul... NE NERFINISHED

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: Azul... | Statement: [Félix Rubén García Sarmiento, notableWork, Azul...]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azul...
Context triple: [Félix Rubén García Sarmiento, notableWork, Azul...]
  • A. Azul... chosen
    "Azul..." is a landmark 1888 modernist poetry collection by Nicaraguan writer Rubén Darío that helped inaugurate Spanish-language literary modernismo.
  • B. AZUL
    AZUL is a Brazilian low-cost airline known for its extensive domestic network and vibrant blue branding.
  • C. Sky Blue
    Sky Blue is a critically acclaimed jazz album by composer and bandleader Maria Schneider, known for its lush, orchestral big band arrangements and evocative, atmospheric writing.
  • D. Sky Blue
    "Sky Blue" is an abstract painting by Russian artist Wassily Kandinsky, characterized by its vibrant colors and dynamic geometric forms that exemplify his pioneering work in non-representational art.
  • E. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf11a74819094e8fe8dae4615bb completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.