Triple
T8537760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herb Alpert Presents Sergio Mendes & Brasil '66 |
E202119
|
entity |
| Predicate | featuresMusician |
P20942
|
FINISHED |
| Object | José Soares |
E733325
|
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: José Soares | Statement: [Herb Alpert Presents Sergio Mendes & Brasil '66, featuresMusician, José Soares]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: José Soares Context triple: [Herb Alpert Presents Sergio Mendes & Brasil '66, featuresMusician, José Soares]
-
A.
José Soares
chosen
José Soares is a musician best known as a member of Sérgio Mendes & Brasil '66, the influential Brazilian bossa nova and jazz-pop group.
-
B.
Luís Soares
Luís Soares is a Portuguese long-distance runner who competed in international events, including the Olympic Games.
-
C.
João Soares
João Soares is a Portuguese politician and former mayor of Lisbon, known as the son of former Portuguese president Mário Soares.
-
D.
João Sàágua
João Sàágua is a Portuguese academic and higher-education leader who serves as rector of NOVA University Lisbon.
-
E.
Manuel Rodrigues
Manuel Rodrigues is a Portuguese name shared by several notable individuals, including athletes, politicians, and artists.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a5c2848190836c612597de83b7 |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d8c666881908785079f059f88c8 |
completed | April 2, 2026, 1:22 p.m. |
Created at: March 30, 2026, 6:18 p.m.