Triple
T9178602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | choro |
E220262
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Brasileirinho
"Brasileirinho" is a famous and virtuosic Brazilian choro composition, widely regarded as a classic of the genre and a showcase for instrumental skill.
|
E782183
|
NE FINISHED |
How this triple was built (4 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: Brasileirinho | Statement: [choro, notableWork, Brasileirinho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brasileirinho Context triple: [choro, notableWork, Brasileirinho]
-
A.
Maracanãzinho
Maracanãzinho is an iconic indoor arena in Rio de Janeiro, Brazil, renowned for hosting major international volleyball and basketball events.
-
B.
Cariocão
Cariocão is the popular nickname for the Campeonato Carioca, the top professional football championship of the state of Rio de Janeiro in Brazil.
-
C.
Tostão
Tostão is a legendary Brazilian forward who starred alongside Pelé in Brazil’s iconic 1970 World Cup–winning team and is regarded as one of the country’s greatest footballers.
-
D.
Raminho
Raminho is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
-
E.
Piquinho
Piquinho is the prominent summit cone at the top of Mount Pico in the Azores, known as the highest point in Portugal.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brasileirinho Triple: [choro, notableWork, Brasileirinho]
Generated description
"Brasileirinho" is a famous and virtuosic Brazilian choro composition, widely regarded as a classic of the genre and a showcase for instrumental skill.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brasileirinho Target entity description: "Brasileirinho" is a famous and virtuosic Brazilian choro composition, widely regarded as a classic of the genre and a showcase for instrumental skill.
-
A.
Maracanãzinho
Maracanãzinho is an iconic indoor arena in Rio de Janeiro, Brazil, renowned for hosting major international volleyball and basketball events.
-
B.
Cariocão
Cariocão is the popular nickname for the Campeonato Carioca, the top professional football championship of the state of Rio de Janeiro in Brazil.
-
C.
Tostão
Tostão is a legendary Brazilian forward who starred alongside Pelé in Brazil’s iconic 1970 World Cup–winning team and is regarded as one of the country’s greatest footballers.
-
D.
Raminho
Raminho is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
-
E.
Piquinho
Piquinho is the prominent summit cone at the top of Mount Pico in the Azores, known as the highest point in Portugal.
- F. None of above. chosen
Provenance (5 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc24eeb988190af82dfba49aac2f8 |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054ae9a708190b26c2f2c7ebb59c9 |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d05571243c8190bd7fcc6e675b3500 |
completed | April 4, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0564391cc81909c0cea2d49c38fb4 |
completed | April 4, 2026, 12:07 a.m. |
Created at: March 30, 2026, 7:23 p.m.