Triple
T11942176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunes |
E284202
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
João Nunes
João Nunes is a Portuguese-language personal name shared by multiple individuals, including figures in fields such as sports, politics, and the arts.
|
E973814
|
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: João Nunes | Statement: [Nunes, hasNotableBearer, João Nunes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: João Nunes Context triple: [Nunes, hasNotableBearer, João Nunes]
-
A.
José Oliveira
José Oliveira is a voice actor best known for his role in the classic Disney animated film "The Three Caballeros."
-
B.
Diogo Tavares
Diogo Tavares is a Portuguese professional footballer known for playing as a forward for various clubs in Portugal and abroad.
-
C.
Vítor Oliveira
Vítor Oliveira was a renowned Portuguese football manager best known for achieving a record number of promotions to the Primeira Liga with multiple clubs.
-
D.
João Tavares
João Tavares is a person notable enough to be recognized as a significant bearer of the surname Tavares.
-
E.
Pedro Tavares
Pedro Tavares is a person notable enough to be recognized as a bearer of the surname Tavares, though specific widely known achievements or roles are not clearly established from the given information.
- 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: João Nunes Triple: [Nunes, hasNotableBearer, João Nunes]
Generated description
João Nunes is a Portuguese-language personal name shared by multiple individuals, including figures in fields such as sports, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: João Nunes Target entity description: João Nunes is a Portuguese-language personal name shared by multiple individuals, including figures in fields such as sports, politics, and the arts.
-
A.
José Oliveira
José Oliveira is a voice actor best known for his role in the classic Disney animated film "The Three Caballeros."
-
B.
Diogo Tavares
Diogo Tavares is a Portuguese professional footballer known for playing as a forward for various clubs in Portugal and abroad.
-
C.
Vítor Oliveira
Vítor Oliveira was a renowned Portuguese football manager best known for achieving a record number of promotions to the Primeira Liga with multiple clubs.
-
D.
João Tavares
João Tavares is a person notable enough to be recognized as a significant bearer of the surname Tavares.
-
E.
Pedro Tavares
Pedro Tavares is a person notable enough to be recognized as a bearer of the surname Tavares, though specific widely known achievements or roles are not clearly established from the given information.
- 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_69f61e37032c819087c46c7adda94cd9 |
completed | May 2, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69f61f5b107c819082094791fcf7c5f4 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62006afcc8190b8e3b55a5fd8eaca |
completed | May 2, 2026, 4:02 p.m. |
Created at: April 8, 2026, 9:45 p.m.