Triple
T21570047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maia |
E532259
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
João Maia
João Maia is a Brazilian Paralympic sprinter and visually impaired athlete known for competing in international track events.
|
E1491353
|
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 Maia | Statement: [Maia, hasNotableBearer, João Maia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: João Maia Context triple: [Maia, hasNotableBearer, João Maia]
-
A.
João Palma
João Palma is a Brazilian drummer best known for his work in bossa nova and jazz, including as a key rhythm section member for Sérgio Mendes & Brasil '66.
-
B.
José Geraldo Rodrigues
José Geraldo Rodrigues is a Brazilian actor known for his role in the acclaimed drama film "Linha de Passe."
-
C.
Mário Filho
Mário Filho was a prominent Brazilian sports journalist whose influence on football culture was so great that Rio de Janeiro’s iconic Maracanã Stadium was named in his honor.
-
D.
João Bráulio Muniz
João Bráulio Muniz is a political figure associated with the leadership of the Permanent Triune Regency.
-
E.
José Maria Neves
José Maria Neves is a Cape Verdean politician who serves as the president of Cape Verde and has previously held prominent national leadership roles.
- 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 Maia Triple: [Maia, hasNotableBearer, João Maia]
Generated description
João Maia is a Brazilian Paralympic sprinter and visually impaired athlete known for competing in international track events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: João Maia Target entity description: João Maia is a Brazilian Paralympic sprinter and visually impaired athlete known for competing in international track events.
-
A.
João Palma
João Palma is a Brazilian drummer best known for his work in bossa nova and jazz, including as a key rhythm section member for Sérgio Mendes & Brasil '66.
-
B.
José Geraldo Rodrigues
José Geraldo Rodrigues is a Brazilian actor known for his role in the acclaimed drama film "Linha de Passe."
-
C.
Mário Filho
Mário Filho was a prominent Brazilian sports journalist whose influence on football culture was so great that Rio de Janeiro’s iconic Maracanã Stadium was named in his honor.
-
D.
João Bráulio Muniz
João Bráulio Muniz is a political figure associated with the leadership of the Permanent Triune Regency.
-
E.
José Maria Neves
José Maria Neves is a Cape Verdean politician who serves as the president of Cape Verde and has previously held prominent national leadership roles.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cb9718819094fc95b25df68bd1 |
completed | April 27, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09f6707578819095e5ac0312066df6 |
completed | May 17, 2026, 5:10 p.m. |
| NEDg | Description generation | batch_6a09f71df0308190b5953a76da60c6d4 |
completed | May 17, 2026, 5:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f80784648190ae073b4db90032c1 |
completed | May 17, 2026, 5:16 p.m. |
Created at: April 16, 2026, 6:30 p.m.