Triple
T9328430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ary Barroso |
E224454
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ary Barroso |
E224454
|
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: Ary Barroso | Statement: [Ary Barroso, name, Ary Barroso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ary Barroso Context triple: [Ary Barroso, name, Ary Barroso]
-
A.
Ary Barroso
chosen
Ary Barroso was a prominent Brazilian composer and musician, best known as one of the pioneers of samba and for writing iconic songs like "Aquarela do Brasil."
-
B.
Luís Montenegro
Luís Montenegro is a Portuguese politician and leader of the Social Democratic Party who became Prime Minister of Portugal after António Costa.
-
C.
João Gilberto
João Gilberto was a pioneering Brazilian singer, guitarist, and composer widely regarded as the father of bossa nova.
-
D.
Bebel Gilberto
Bebel Gilberto is a Brazilian-American singer and songwriter known for her modern bossa nova style and smooth, intimate vocal performances.
-
E.
Ernesto Nazareth
Ernesto Nazareth was a pioneering Brazilian composer and pianist whose works helped shape the choro genre and bridge classical music with popular urban styles in early 20th-century Brazil.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37ab90ac8190b5c73f08dd091731 |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7f345d88190912b0f10e7ab68be |
completed | April 4, 2026, 8:12 a.m. |
Created at: March 30, 2026, 7:39 p.m.