Triple
T9099592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nilton Santos |
E218118
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nílton
Nílton is the given name of Nilton Santos, the legendary Brazilian footballer widely regarded as one of the greatest left-backs in the history of the sport.
|
E492306
|
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: Nílton | Statement: [Nilton Santos, givenName, Nílton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nílton Context triple: [Nilton Santos, givenName, Nílton]
-
A.
Ferraz de Vasconcelos
Ferraz de Vasconcelos is a municipality in the metropolitan region of São Paulo, Brazil, known for its urban character and integration into the Greater São Paulo area.
-
B.
Andrade
Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
-
C.
Teixeira
Teixeira is a Portuguese-origin surname borne by numerous individuals, including the American former Major League Baseball first baseman Mark Teixeira.
-
D.
Dos Santos
Dos Santos is a common Portuguese-language surname, especially prevalent in Brazil and other Lusophone countries.
-
E.
Guilherme
Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
- 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: Nílton Triple: [Nilton Santos, givenName, Nílton]
Generated description
Nílton is the given name of Nilton Santos, the legendary Brazilian footballer widely regarded as one of the greatest left-backs in the history of the sport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nílton Target entity description: Nílton is the given name of Nilton Santos, the legendary Brazilian footballer widely regarded as one of the greatest left-backs in the history of the sport.
-
A.
Ferraz de Vasconcelos
Ferraz de Vasconcelos is a municipality in the metropolitan region of São Paulo, Brazil, known for its urban character and integration into the Greater São Paulo area.
-
B.
Andrade
Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
-
C.
Teixeira
Teixeira is a Portuguese-origin surname borne by numerous individuals, including the American former Major League Baseball first baseman Mark Teixeira.
-
D.
Dos Santos
chosen
Dos Santos is a common Portuguese-language surname, especially prevalent in Brazil and other Lusophone countries.
-
E.
Guilherme
Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9710ac04819096b9c8d3399b9c35 |
completed | April 1, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d01824ee2081909cc5e6ae33fab2e5 |
completed | April 3, 2026, 7:42 p.m. |
| NEDg | Description generation | batch_69d019666cb08190b66298ff86a7e1af |
completed | April 3, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d01a700ce48190868d445bde2462dc |
completed | April 3, 2026, 7:52 p.m. |
Created at: March 30, 2026, 7:15 p.m.