Triple
T22179456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin American Modernism |
E548129
|
entity |
| Predicate | hasKeyWork |
P6200
|
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: [Latin American Modernism, hasKeyWork, Azul...]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azul... Context triple: [Latin American Modernism, hasKeyWork, 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 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.
-
D.
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.
-
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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa3af308190bbddadfa3066f850 |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:34 p.m.