Triple
T19456352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ônibus 174 |
E486741
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | João Nabuco |
—
|
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: João Nabuco | Statement: [Ônibus 174, musicBy, João Nabuco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: João Nabuco Context triple: [Ônibus 174, musicBy, João Nabuco]
-
A.
João Nabuco
chosen
João Nabuco is a Brazilian composer and musician known for creating the score for the documentary film "Bus 174."
-
B.
Zequinha de Abreu
Zequinha de Abreu was a Brazilian composer and musician best known for his influential choro works that became classics of Brazilian popular music.
-
C.
Joaquim Nabuco
Joaquim Nabuco was a prominent Brazilian diplomat, writer, and leading abolitionist who played a key role in the movement to end slavery in Brazil.
-
D.
Otto de Alencar Chaves
Otto de Alencar Chaves is a Brazilian individual notable for bearing the surname Chaves, likely recognized in a professional or public capacity in Brazil.
-
E.
José Pinheiro de Azevedo
José Pinheiro de Azevedo was a Portuguese naval officer and politician who served as prime minister during the turbulent post-Carnation Revolution transitional period in the mid-1970s.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c4088881908f23f25a82a513f6 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.