Triple
T11942174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunes |
E284202
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Carlos Nunes
Carlos Nunes is a Portuguese professional footballer known for playing as a defender in European club competitions.
|
E964833
|
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: Carlos Nunes | Statement: [Nunes, hasNotableBearer, Carlos Nunes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlos Nunes Context triple: [Nunes, hasNotableBearer, Carlos Nunes]
-
A.
Carlos Barbosa
Carlos Barbosa is a municipality in Brazil’s southern state of Rio Grande do Sul, known for its strong Italian heritage and dairy and metalworking industries.
-
B.
Carlos Araújo
Carlos Araújo was a Brazilian lawyer, left-wing political activist, and longtime partner of former president Dilma Rousseff, known for his resistance to the military dictatorship.
-
C.
Alexandre Ribeiro
Alexandre Ribeiro is the son of Brazilian supermodel Lais Ribeiro.
-
D.
Jorge Moreira
Jorge Moreira is a Brazilian architect and artist recognized as a distinguished graduate of the Escola Nacional de Belas Artes.
-
E.
Bruno Barreto
Bruno Barreto is a Brazilian film director known for works such as "Dona Flor and Her Two Husbands" and "Four Days in September."
- 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: Carlos Nunes Triple: [Nunes, hasNotableBearer, Carlos Nunes]
Generated description
Carlos Nunes is a Portuguese professional footballer known for playing as a defender in European club competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carlos Nunes Target entity description: Carlos Nunes is a Portuguese professional footballer known for playing as a defender in European club competitions.
-
A.
Carlos Barbosa
Carlos Barbosa is a municipality in Brazil’s southern state of Rio Grande do Sul, known for its strong Italian heritage and dairy and metalworking industries.
-
B.
Carlos Araújo
Carlos Araújo was a Brazilian lawyer, left-wing political activist, and longtime partner of former president Dilma Rousseff, known for his resistance to the military dictatorship.
-
C.
Alexandre Ribeiro
Alexandre Ribeiro is the son of Brazilian supermodel Lais Ribeiro.
-
D.
Jorge Moreira
Jorge Moreira is a Brazilian architect and artist recognized as a distinguished graduate of the Escola Nacional de Belas Artes.
-
E.
Bruno Barreto
Bruno Barreto is a Brazilian film director known for works such as "Dona Flor and Her Two Husbands" and "Four Days in September."
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90342bb908190a019ac91a2b82f3d |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f63ca1748190aad1610f22c53f7d |
completed | May 2, 2026, 1:03 p.m. |
| NEDg | Description generation | batch_69f600b51f488190a85a8f10f190b3c0 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601e7f3b0819098a2245b9f9316b9 |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:45 p.m.