Triple
T22644355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dias |
E558915
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Luís Dias
Luís Dias is a Portuguese football manager and former player known for coaching several clubs in Portugal’s lower divisions.
|
E1553113
|
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: Luís Dias | Statement: [Dias, hasNotableBearer, Luís Dias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luís Dias Context triple: [Dias, hasNotableBearer, Luís Dias]
-
A.
José Nunes
José Nunes is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Nunes.
-
B.
António Dias
António Dias is a Portuguese politician who has served as a member of the European Parliament, known for his involvement in left-wing and environmental politics.
-
C.
Manuel Rodrigues
Manuel Rodrigues is a Portuguese name shared by several notable individuals, including athletes, politicians, and artists.
-
D.
Fernando Correia Dias
Fernando Correia Dias was a Portuguese-born illustrator and graphic artist known for his work in Brazil and his marriage to the poet Cecília Meireles.
-
E.
Luís Soares
Luís Soares is a Portuguese long-distance runner who competed in international events, including the Olympic Games.
- 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: Luís Dias Triple: [Dias, hasNotableBearer, Luís Dias]
Generated description
Luís Dias is a Portuguese football manager and former player known for coaching several clubs in Portugal’s lower divisions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luís Dias Target entity description: Luís Dias is a Portuguese football manager and former player known for coaching several clubs in Portugal’s lower divisions.
-
A.
José Nunes
José Nunes is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Nunes.
-
B.
António Dias
António Dias is a Portuguese politician who has served as a member of the European Parliament, known for his involvement in left-wing and environmental politics.
-
C.
Manuel Rodrigues
Manuel Rodrigues is a Portuguese name shared by several notable individuals, including athletes, politicians, and artists.
-
D.
Fernando Correia Dias
Fernando Correia Dias was a Portuguese-born illustrator and graphic artist known for his work in Brazil and his marriage to the poet Cecília Meireles.
-
E.
Luís Soares
Luís Soares is a Portuguese long-distance runner who competed in international events, including the Olympic Games.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f170366ac881909e9d1dd2e7cf7a25 |
completed | April 29, 2026, 2:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9803a8748190bb7c7b0684dc9c50 |
completed | May 18, 2026, 10:51 p.m. |
| NEDg | Description generation | batch_6a0b98954a9881909678948515cd60a4 |
completed | May 18, 2026, 10:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b994f07188190b17a710a84159494 |
completed | May 18, 2026, 10:57 p.m. |
Created at: April 17, 2026, 3:05 p.m.