Triple
T22871847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrícia Galvão |
E567215
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Galvão
Galvão is a Portuguese-language surname commonly found in Brazil and Portugal, borne by various notable figures in sports, arts, and public life.
|
E1557995
|
NE FINISHED |
How this triple was built (4 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: Galvão | Statement: [Patrícia Galvão, hasFamilyName, Galvão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galvão Context triple: [Patrícia Galvão, hasFamilyName, Galvão]
-
A.
Gonçalves
Gonçalves is a common Portuguese surname, especially prevalent in Portugal and Brazil, derived from the given name Gonçalo.
-
B.
Calvão
Calvão is a civil parish located in the municipality of Vagos in the Aveiro District of Portugal.
-
C.
Cravalho
Cravalho is the surname of Auliʻi Cravalho, the American actress and singer best known as the voice of Disney’s Moana.
-
D.
Werdenberg
Werdenberg is a region in the Swiss canton of St. Gallen, known for its historic town and castle near the Rhine Valley.
-
E.
Vilhena
Vilhena is a municipality in the southern part of the Brazilian state of Rondônia, known as an important regional agricultural and commercial center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Galvão Triple: [Patrícia Galvão, hasFamilyName, Galvão]
Generated description
Galvão is a Portuguese-language surname commonly found in Brazil and Portugal, borne by various notable figures in sports, arts, and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Galvão Target entity description: Galvão is a Portuguese-language surname commonly found in Brazil and Portugal, borne by various notable figures in sports, arts, and public life.
-
A.
Gonçalves
Gonçalves is a common Portuguese surname, especially prevalent in Portugal and Brazil, derived from the given name Gonçalo.
-
B.
Calvão
Calvão is a civil parish located in the municipality of Vagos in the Aveiro District of Portugal.
-
C.
Cravalho
Cravalho is the surname of Auliʻi Cravalho, the American actress and singer best known as the voice of Disney’s Moana.
-
D.
Werdenberg
Werdenberg is a region in the Swiss canton of St. Gallen, known for its historic town and castle near the Rhine Valley.
-
E.
Vilhena
Vilhena is a municipality in the southern part of the Brazilian state of Rondônia, known as an important regional agricultural and commercial center.
- F. None of above. chosen
Provenance (5 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f05c688819097ba3d24ea8e52f5 |
completed | April 29, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae98804c8190bb1102516426a0ba |
completed | May 19, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a0baef3b7ac8190a0f3df86c7751253 |
completed | May 19, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0baf6c25d081908330d581e2fa49d4 |
completed | May 19, 2026, 12:31 a.m. |
Created at: April 17, 2026, 3:38 p.m.