Triple
T17586384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvim Corrêa |
E428332
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Corrêa
Corrêa is a Portuguese-language surname commonly found in Brazil and Portugal, borne by numerous notable figures across arts, politics, and sports.
|
E1277191
|
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: Corrêa | Statement: [Alvim Corrêa, familyName, Corrêa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corrêa Context triple: [Alvim Corrêa, familyName, Corrêa]
-
A.
Carvalhal
Carvalhal is a civil parish located within the municipality of Abrantes in central Portugal.
-
B.
Carvalhal
Carvalhal is a civil parish in the municipality of Grândola, located in Portugal’s Alentejo region.
-
C.
Jorge Arantes
Jorge Arantes is a Portuguese former journalist best known as the first husband of author J. K. Rowling.
-
D.
Heitor Pereira
Heitor Pereira is a Brazilian composer and musician best known for his film scores, particularly for animated features such as the Despicable Me series.
-
E.
Aníbal Coutinho
Aníbal Coutinho is a Brazilian architect best known for designing São Paulo’s Arena Corinthians football stadium.
- 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: Corrêa Triple: [Alvim Corrêa, familyName, Corrêa]
Generated description
Corrêa is a Portuguese-language surname commonly found in Brazil and Portugal, borne by numerous notable figures across arts, politics, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Corrêa Target entity description: Corrêa is a Portuguese-language surname commonly found in Brazil and Portugal, borne by numerous notable figures across arts, politics, and sports.
-
A.
Carvalhal
Carvalhal is a civil parish located within the municipality of Abrantes in central Portugal.
-
B.
Carvalhal
Carvalhal is a civil parish in the municipality of Grândola, located in Portugal’s Alentejo region.
-
C.
Jorge Arantes
Jorge Arantes is a Portuguese former journalist best known as the first husband of author J. K. Rowling.
-
D.
Heitor Pereira
Heitor Pereira is a Brazilian composer and musician best known for his film scores, particularly for animated features such as the Despicable Me series.
-
E.
Aníbal Coutinho
Aníbal Coutinho is a Brazilian architect best known for designing São Paulo’s Arena Corinthians football stadium.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463d22f908190ae0f1eeafbe54459 |
completed | April 19, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01ddf34a448190a7afb05e61ce39eb |
completed | May 11, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a01dfef61fc8190810d31c91195c205 |
completed | May 11, 2026, 1:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01e0a5f2188190b4a8604d197c6ac8 |
completed | May 11, 2026, 1:59 p.m. |
Created at: April 10, 2026, 5:50 a.m.