Triple
T20916385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilberto Freyre |
E515083
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Freyre
Freyre is a Portuguese-origin surname most notably associated with Brazilian sociologist and writer Gilberto Freyre.
|
E1457613
|
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: Freyre | Statement: [Gilberto Freyre, familyName, Freyre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freyre Context triple: [Gilberto Freyre, familyName, Freyre]
-
A.
Caranqui
Caranqui is an extinct indigenous language of the northern Andes in Ecuador, historically spoken by the Caranqui people and classified within the Barbacoan language family.
-
B.
Gaspar Garreto
Gaspar Garreto is a Brazilian architect best known for designing the iconic Estádio Mineirão football stadium in Belo Horizonte.
-
C.
Ñuflo de Chaves
Ñuflo de Chaves was a 16th-century Spanish conquistador and explorer best known for establishing the city of Santa Cruz de la Sierra in present-day Bolivia.
-
D.
Saavedra
Saavedra is a coastal municipality in southern Chile’s Araucanía Region, known for its Mapuche communities and fishing activities along the Pacific Ocean.
-
E.
Saavedra
Saavedra is a coastal barangay in the municipality of Moalboal in Cebu, Philippines, known for its beaches and tourism activities.
- 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: Freyre Triple: [Gilberto Freyre, familyName, Freyre]
Generated description
Freyre is a Portuguese-origin surname most notably associated with Brazilian sociologist and writer Gilberto Freyre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Freyre Target entity description: Freyre is a Portuguese-origin surname most notably associated with Brazilian sociologist and writer Gilberto Freyre.
-
A.
Caranqui
Caranqui is an extinct indigenous language of the northern Andes in Ecuador, historically spoken by the Caranqui people and classified within the Barbacoan language family.
-
B.
Gaspar Garreto
Gaspar Garreto is a Brazilian architect best known for designing the iconic Estádio Mineirão football stadium in Belo Horizonte.
-
C.
Ñuflo de Chaves
Ñuflo de Chaves was a 16th-century Spanish conquistador and explorer best known for establishing the city of Santa Cruz de la Sierra in present-day Bolivia.
-
D.
Saavedra
Saavedra is a coastal municipality in southern Chile’s Araucanía Region, known for its Mapuche communities and fishing activities along the Pacific Ocean.
-
E.
Saavedra
Saavedra is a coastal barangay in the municipality of Moalboal in Cebu, Philippines, known for its beaches and tourism activities.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec635f4881909a560fb891100d8c |
completed | April 21, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091fc4d81081908c412567cd0e5073 |
completed | May 17, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a09210bde4c8190841af0f9a29ecdd9 |
completed | May 17, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09217fdcd08190bc41700ec09851e1 |
completed | May 17, 2026, 2:01 a.m. |
Created at: April 16, 2026, 12:48 p.m.