Triple
T15716671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasco Gonçalves |
E380977
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gonçalves |
E1093709
|
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: Gonçalves | Statement: [Vasco Gonçalves, familyName, Gonçalves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gonçalves Context triple: [Vasco Gonçalves, familyName, Gonçalves]
-
A.
Gonçalves
chosen
Gonçalves is a common Portuguese surname, especially prevalent in Portugal and Brazil, derived from the given name Gonçalo.
-
B.
Carvalho
Carvalho is a common Portuguese surname borne by many individuals, including the former professional footballer Ricardo Carvalho.
-
C.
Cravalho
Cravalho is the surname of Auliʻi Cravalho, the American actress and singer best known as the voice of Disney’s Moana.
-
D.
Ribeiro
Ribeiro is a common Portuguese surname borne by numerous individuals across Portugal and the Lusophone world.
-
E.
Sampaio
Sampaio is a Portuguese surname borne by various notable figures in fields such as politics, sports, and entertainment.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f91beb08190bd91bf9306737c3b |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7583609c8190a80421fce649900f |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.