Triple
T4692905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Sampaio |
E104075
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sampaio
Sampaio is a Portuguese surname most notably associated with Jorge Sampaio, a former President of Portugal.
|
E247803
|
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: [Jorge Sampaio, familyName, Sampaio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sampaio Context triple: [Jorge Sampaio, familyName, Sampaio]
-
A.
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.
-
B.
Raminho
Raminho is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
-
C.
Cardoso
Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
-
D.
Santana de Parnaíba
Santana de Parnaíba is a historic municipality in the São Paulo metropolitan region of Brazil, known for its well-preserved colonial architecture and cultural heritage.
-
E.
Nova Lima
Nova Lima is a Brazilian city in the state of Minas Gerais, known historically for its gold mining and now as an affluent residential and industrial center near Belo Horizonte.
- 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: [Jorge Sampaio, familyName, Sampaio]
Generated description
Sampaio is a Portuguese surname most notably associated with Jorge Sampaio, a former President of Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sampaio Target entity description: Sampaio is a Portuguese surname most notably associated with Jorge Sampaio, a former President of Portugal.
-
A.
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.
-
B.
Raminho
Raminho is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
-
C.
Cardoso
chosen
Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
-
D.
Santana de Parnaíba
Santana de Parnaíba is a historic municipality in the São Paulo metropolitan region of Brazil, known for its well-preserved colonial architecture and cultural heritage.
-
E.
Nova Lima
Nova Lima is a Brazilian city in the state of Minas Gerais, known historically for its gold mining and now as an affluent residential and industrial center near Belo Horizonte.
- F. None of above.
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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd639dc94c8190bc033111a4199f40 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03bd47b08190a3d2a174eb2f7b2e |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be055390c08190a85f92aec34b390a |
completed | March 21, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be05d5bd008190bd94bd70092e8dfd |
completed | March 21, 2026, 2:43 a.m. |
Created at: March 20, 2026, 1:16 p.m.