Triple
T10047740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Sampaio |
E207659
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sampaio
Sampaio is a Portuguese surname borne by various notable figures in fields such as politics, sports, and entertainment.
|
E837715
|
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: Sampaio | Statement: [Sara Sampaio, familyName, Sampaio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sampaio Context triple: [Sara Sampaio, familyName, Sampaio]
-
A.
Teixeira
Teixeira is a Portuguese-origin surname borne by numerous individuals, including the American former Major League Baseball first baseman Mark Teixeira.
-
B.
Ferraz de Vasconcelos
Ferraz de Vasconcelos is a municipality in the metropolitan region of São Paulo, Brazil, known for its urban character and integration into the Greater São Paulo area.
-
C.
Carvalho
Carvalho is a common Portuguese surname borne by many individuals, including the former professional footballer Ricardo Carvalho.
-
D.
Andrade
Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
-
E.
Raminho
Raminho is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
- 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: Sampaio Triple: [Sara Sampaio, familyName, Sampaio]
Generated description
Sampaio is a Portuguese surname borne by various notable figures in fields such as politics, sports, and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sampaio Target entity description: Sampaio is a Portuguese surname borne by various notable figures in fields such as politics, sports, and entertainment.
-
A.
Teixeira
Teixeira is a Portuguese-origin surname borne by numerous individuals, including the American former Major League Baseball first baseman Mark Teixeira.
-
B.
Ferraz de Vasconcelos
Ferraz de Vasconcelos is a municipality in the metropolitan region of São Paulo, Brazil, known for its urban character and integration into the Greater São Paulo area.
-
C.
Carvalho
Carvalho is a common Portuguese surname borne by many individuals, including the former professional footballer Ricardo Carvalho.
-
D.
Andrade
Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
-
E.
Raminho
Raminho is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf664dd881908786fcd802bf10da |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2828f3980819083d041f09e63d8e6 |
completed | April 5, 2026, 3:41 p.m. |
| NEDg | Description generation | batch_69d28391f8fc8190964cdccaf5625617 |
completed | April 5, 2026, 3:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d284604dc88190b452ee847d3390dd |
completed | April 5, 2026, 3:48 p.m. |
Created at: March 30, 2026, 8:56 p.m.