Triple
T6319757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regina Silveira |
E141708
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Regina Silveira |
E141708
|
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: Regina Silveira | Statement: [Regina Silveira, name, Regina Silveira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regina Silveira Context triple: [Regina Silveira, name, Regina Silveira]
-
A.
Regina Silveira
chosen
Regina Silveira is a Brazilian contemporary artist renowned for her conceptual installations and explorations of shadow, perspective, and spatial perception.
-
B.
Lais Ribeiro
Lais Ribeiro is a Brazilian fashion model best known for her work with Victoria’s Secret and appearances in its high-profile runway shows.
-
C.
Eliane Cavalleiro
Eliane Cavalleiro is a Brazilian academic and activist known for her work on racial and gender equality in education.
-
D.
Sara Sampaio
Sara Sampaio is a Portuguese fashion model best known for her work with Victoria’s Secret and appearances in major international fashion magazines and campaigns.
-
E.
Fernanda Tadeu
Fernanda Tadeu is a Portuguese educator and public figure best known as the wife of former Prime Minister António Costa.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c4ed7c8190bd066dc7cd3d1329 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6040714988190abbbadb4039966ef |
completed | March 27, 2026, 4:13 a.m. |
Created at: March 22, 2026, 4:29 p.m.