Triple
T14641073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonia Braga |
E343722
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object |
Kleber Mendonça Filho
Kleber Mendonça Filho is a Brazilian filmmaker and screenwriter known for critically acclaimed films such as "Neighboring Sounds" and "Aquarius," which explore social tensions and urban life in Brazil.
|
E1308717
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleber Mendonça Filho Context triple: [Sonia Braga, hasWorkedWith, Kleber Mendonça Filho]
-
A.
Mário Cravo Júnior
Mário Cravo Júnior was a prominent Brazilian sculptor and visual artist known for his modernist works that often incorporated Afro-Brazilian cultural themes.
-
B.
Cassiano Branco
Cassiano Branco was a prominent 20th-century Portuguese architect known for his modernist and expressive designs that helped shape the architectural landscape of Portugal.
-
C.
Luís Melo
Luís Melo is a Brazilian actor known for his work in television, film, and theater.
-
D.
Waldir Azevedo
Waldir Azevedo was a Brazilian composer and virtuoso cavaquinho player best known for popularizing the choro genre with pieces like "Brasileirinho."
-
E.
Júlio Resende
Júlio Resende was a prominent Portuguese painter and visual artist known for his modernist style and significant contributions to public art 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: Kleber Mendonça Filho Triple: [Sonia Braga, hasWorkedWith, Kleber Mendonça Filho]
Generated description
Kleber Mendonça Filho is a Brazilian filmmaker and screenwriter known for critically acclaimed films such as "Neighboring Sounds" and "Aquarius," which explore social tensions and urban life in Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kleber Mendonça Filho Target entity description: Kleber Mendonça Filho is a Brazilian filmmaker and screenwriter known for critically acclaimed films such as "Neighboring Sounds" and "Aquarius," which explore social tensions and urban life in Brazil.
-
A.
Mário Cravo Júnior
Mário Cravo Júnior was a prominent Brazilian sculptor and visual artist known for his modernist works that often incorporated Afro-Brazilian cultural themes.
-
B.
Cassiano Branco
Cassiano Branco was a prominent 20th-century Portuguese architect known for his modernist and expressive designs that helped shape the architectural landscape of Portugal.
-
C.
Luís Melo
Luís Melo is a Brazilian actor known for his work in television, film, and theater.
-
D.
Waldir Azevedo
Waldir Azevedo was a Brazilian composer and virtuoso cavaquinho player best known for popularizing the choro genre with pieces like "Brasileirinho."
-
E.
Júlio Resende
Júlio Resende was a prominent Portuguese painter and visual artist known for his modernist style and significant contributions to public art in Portugal.
- F. None of above. chosen
Provenance (4 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03852d4f988190aa778537ab9e3b9e |
completed | May 12, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_6a038a9d02d48190b337f6f611fc6840 |
completed | May 12, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a038b2720548190baaafbc022f36163 |
completed | May 12, 2026, 8:18 p.m. |
Created at: April 10, 2026, 1:26 a.m.