Triple
T16690135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carvalho family |
E405571
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Carvalho |
E606359
|
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: Carvalho | Statement: [Carvalho family, hasSurname, Carvalho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carvalho Context triple: [Carvalho family, hasSurname, Carvalho]
-
A.
Carvalho
chosen
Carvalho is a common Portuguese surname borne by many individuals, including the former professional footballer Ricardo Carvalho.
-
B.
Cravalho
Cravalho is the surname of Auliʻi Cravalho, the American actress and singer best known as the voice of Disney’s Moana.
-
C.
Gonçalves
Gonçalves is a common Portuguese surname, especially prevalent in Portugal and Brazil, derived from the given name Gonçalo.
-
D.
Teixeira
Teixeira is a Portuguese-origin surname borne by numerous individuals, including the American former Major League Baseball first baseman Mark Teixeira.
-
E.
Carvalhal
Carvalhal is a civil parish located within the municipality of Abrantes in central Portugal.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea8cabc8190ba321503399960da |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d32e7b48190b7dd4660bed4789d |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:19 a.m.