Triple
T2294683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamilla Cardoso |
E51583
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cardoso |
E247803
|
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: Cardoso | Statement: [Kamilla Cardoso, familyName, Cardoso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cardoso Context triple: [Kamilla Cardoso, familyName, Cardoso]
-
A.
Cardoso
chosen
Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
-
B.
Alcântara
Alcântara is a historic coastal municipality in the Brazilian state of Maranhão, known for its preserved colonial architecture and proximity to the Alcântara Launch Center.
-
C.
Ramos da Costa
Ramos da Costa is a Portuguese-language surname associated with individuals such as Francisco Ramos da Costa.
-
D.
Vidigal
Vidigal is a hillside favela neighborhood in Rio de Janeiro, Brazil, known for its striking ocean views, vibrant community, and growing cultural and tourism scene.
-
E.
Caicó
Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5da667881909186adf23a2bd45b |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f2654e4819090dea196cf38652e |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:49 p.m.