Triple
T22885399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anderson Varejão |
E567590
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Varejão
Varejão is a Brazilian surname most famously associated with former NBA center Anderson Varejão, known for his energetic play and rebounding.
|
E1560718
|
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: Varejão | Statement: [Anderson Varejão, familyName, Varejão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varejão Context triple: [Anderson Varejão, familyName, Varejão]
-
A.
Sampaio
Sampaio is a Portuguese surname borne by various notable figures in fields such as politics, sports, and entertainment.
-
B.
Teixeira
Teixeira is a Portuguese-origin surname borne by numerous individuals, including the American former Major League Baseball first baseman Mark Teixeira.
-
C.
Werdenberg
Werdenberg is a region in the Swiss canton of St. Gallen, known for its historic town and castle near the Rhine Valley.
-
D.
Galvão
Galvão is a Portuguese-language surname commonly found in Brazil and Portugal, borne by various notable figures in sports, arts, and public life.
-
E.
Cravalho
Cravalho is the surname of Auliʻi Cravalho, the American actress and singer best known as the voice of Disney’s Moana.
- 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: Varejão Triple: [Anderson Varejão, familyName, Varejão]
Generated description
Varejão is a Brazilian surname most famously associated with former NBA center Anderson Varejão, known for his energetic play and rebounding.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Varejão Target entity description: Varejão is a Brazilian surname most famously associated with former NBA center Anderson Varejão, known for his energetic play and rebounding.
-
A.
Sampaio
Sampaio is a Portuguese surname borne by various notable figures in fields such as politics, sports, and entertainment.
-
B.
Teixeira
Teixeira is a Portuguese-origin surname borne by numerous individuals, including the American former Major League Baseball first baseman Mark Teixeira.
-
C.
Werdenberg
Werdenberg is a region in the Swiss canton of St. Gallen, known for its historic town and castle near the Rhine Valley.
-
D.
Galvão
Galvão is a Portuguese-language surname commonly found in Brazil and Portugal, borne by various notable figures in sports, arts, and public life.
-
E.
Cravalho
Cravalho is the surname of Auliʻi Cravalho, the American actress and singer best known as the voice of Disney’s Moana.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc0cdb081908107d40069d9735f |
completed | April 29, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9bafb9c81909e061c4d2997439a |
completed | May 19, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_6a0bbb38da508190bc1d9bc8538cdbe2 |
completed | May 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbc2a2244819090ead891e1a866ed |
completed | May 19, 2026, 1:26 a.m. |
Created at: April 17, 2026, 3:40 p.m.