Triple
T12524576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernanda Montenegro |
E299402
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Esteves |
E610532
|
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: Esteves | Statement: [Fernanda Montenegro, familyName, Esteves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esteves Context triple: [Fernanda Montenegro, familyName, Esteves]
-
A.
Esteves
chosen
Esteves is a Portuguese and Spanish surname commonly found in Iberian and Latin American countries, often associated with patronymic origins meaning "son of Estêvão/Esteban" (Stephen).
-
B.
Andrade
Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
-
C.
Carvalho
Carvalho is a common Portuguese surname borne by many individuals, including the former professional footballer Ricardo Carvalho.
-
D.
Gomes
Gomes is a common Portuguese surname shared by many individuals, including the artist Fernanda Gomes.
-
E.
Gustavo
Gustavo is a masculine given name commonly used in Spanish- and Portuguese-speaking countries, equivalent to the name Gustaf.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545c2aa081908e8a5a94d30e23eb |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc159c88190835fea5c0d9ee799 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.