Triple
T6226125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affonso Eduardo Reidy |
E139238
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Affonso |
E558950
|
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: Affonso | Statement: [Affonso Eduardo Reidy, givenName, Affonso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Affonso Context triple: [Affonso Eduardo Reidy, givenName, Affonso]
-
A.
Affonso
chosen
Affonso is a masculine given name of Portuguese origin commonly used in Brazil and other Lusophone countries.
-
B.
Affonso Gonçalves
Affonso Gonçalves is a Brazilian-American film editor known for his work on acclaimed independent films and collaborations with directors like Jim Jarmusch and Todd Haynes.
-
C.
Athos Bulcão
Athos Bulcão was a Brazilian artist renowned for his modernist tile panels and public art that became iconic elements of Brasília’s architectural landscape.
-
D.
Sebastião
Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
-
E.
Damião
Damião is a Portuguese given name, equivalent to Damian, commonly used in Lusophone countries.
- 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062d5403081908effc8330bda3f0a |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dd3dc5c8190bf48da3a90863727 |
completed | March 24, 2026, 4:06 a.m. |
Created at: March 22, 2026, 4:22 p.m.