Triple
T15068742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassiano Branco |
E379821
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cassiano Branco |
E379821
|
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: Cassiano Branco | Statement: [Cassiano Branco, name, Cassiano Branco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cassiano Branco Context triple: [Cassiano Branco, name, Cassiano Branco]
-
A.
Cassiano Branco
chosen
Cassiano Branco was a prominent 20th-century Portuguese architect known for his modernist and expressive designs that helped shape the architectural landscape of Portugal.
-
B.
Luciano Cardoso
Luciano Cardoso is one of the children of former Brazilian president and sociologist Fernando Henrique Cardoso.
-
C.
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.
-
D.
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.
-
E.
Luís Melo
Luís Melo is a Brazilian actor known for his work in television, film, and theater.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeebc7e48190a86b4f0afe8844bb |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae11d6648190bc9b5d4f520d694b |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:02 a.m.