Triple
T6572875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diogo |
E155483
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object |
Dioguinho
Dioguinho is a Portuguese diminutive form of the given name Diogo, typically used as an affectionate nickname.
|
E155483
|
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: Dioguinho | Statement: [Diogo, hasDiminutive, Dioguinho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dioguinho Context triple: [Diogo, hasDiminutive, Dioguinho]
-
A.
Diogo
Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
-
B.
Tostão
Tostão is a legendary Brazilian forward who starred alongside Pelé in Brazil’s iconic 1970 World Cup–winning team and is regarded as one of the country’s greatest footballers.
-
C.
Zeca
Zeca is the namesake of Ilha do Zeca, a locality within the Cidade Universitária area.
-
D.
Gomes
Gomes is a common Portuguese surname shared by many individuals, including the artist Fernanda Gomes.
-
E.
Marcio
Marcio is a masculine given name commonly used in Portuguese- and Spanish-speaking countries, derived from the Latin name Marcius.
- 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: Dioguinho Triple: [Diogo, hasDiminutive, Dioguinho]
Generated description
Dioguinho is a Portuguese diminutive form of the given name Diogo, typically used as an affectionate nickname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dioguinho Target entity description: Dioguinho is a Portuguese diminutive form of the given name Diogo, typically used as an affectionate nickname.
-
A.
Diogo
chosen
Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
-
B.
Tostão
Tostão is a legendary Brazilian forward who starred alongside Pelé in Brazil’s iconic 1970 World Cup–winning team and is regarded as one of the country’s greatest footballers.
-
C.
Zeca
Zeca is the namesake of Ilha do Zeca, a locality within the Cidade Universitária area.
-
D.
Gomes
Gomes is a common Portuguese surname shared by many individuals, including the artist Fernanda Gomes.
-
E.
Marcio
Marcio is a masculine given name commonly used in Portuguese- and Spanish-speaking countries, derived from the Latin name Marcius.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae6faa3c81908f1777d616cece46 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d56a7de88190948fdd052dd4d5d5 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d6acc2208190ac47c60bb896c1cd |
completed | March 27, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d8486534819080b75cad9cc32276 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:53 p.m.