Triple
T10063926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arena Corinthians |
E213052
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object |
Aníbal Coutinho
Aníbal Coutinho is a Brazilian architect best known for designing São Paulo’s Arena Corinthians football stadium.
|
E839599
|
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: Aníbal Coutinho | Statement: [Arena Corinthians, architect, Aníbal Coutinho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aníbal Coutinho Context triple: [Arena Corinthians, architect, Aníbal Coutinho]
-
A.
Jorge Arantes
Jorge Arantes is a Portuguese former journalist best known as the first husband of author J. K. Rowling.
-
B.
Carlos Leão
Carlos Leão was a Brazilian artist and architect associated with modernist movements in Brazil.
-
C.
Humberto Costa
Humberto Costa is a Brazilian physician and politician known for his role in the Workers' Party (PT) and his service as a senator and former Minister of Health.
-
D.
Eduardo Berizzo
Eduardo Berizzo is an Argentine former defender and football manager known for his tactically intense, Bielsa-inspired coaching style at clubs in Spain and South America.
-
E.
Jorge Costa
Jorge Costa is a retired Portuguese central defender and football manager best known for his long and successful playing career with FC Porto and the Portugal national team.
- 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: Aníbal Coutinho Triple: [Arena Corinthians, architect, Aníbal Coutinho]
Generated description
Aníbal Coutinho is a Brazilian architect best known for designing São Paulo’s Arena Corinthians football stadium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aníbal Coutinho Target entity description: Aníbal Coutinho is a Brazilian architect best known for designing São Paulo’s Arena Corinthians football stadium.
-
A.
Jorge Arantes
Jorge Arantes is a Portuguese former journalist best known as the first husband of author J. K. Rowling.
-
B.
Carlos Leão
Carlos Leão was a Brazilian artist and architect associated with modernist movements in Brazil.
-
C.
Humberto Costa
Humberto Costa is a Brazilian physician and politician known for his role in the Workers' Party (PT) and his service as a senator and former Minister of Health.
-
D.
Eduardo Berizzo
Eduardo Berizzo is an Argentine former defender and football manager known for his tactically intense, Bielsa-inspired coaching style at clubs in Spain and South America.
-
E.
Jorge Costa
Jorge Costa is a retired Portuguese central defender and football manager best known for his long and successful playing career with FC Porto and the Portugal national team.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcfd4e4ac8190a37061b4082caa48 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a7bd56c8190a6c43df26db880f4 |
completed | April 5, 2026, 5:23 p.m. |
| NEDg | Description generation | batch_69d29b75634c819088c8ef750b1691d2 |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29f5007f88190b0330d1a8c551905 |
completed | April 5, 2026, 5:43 p.m. |
Created at: March 30, 2026, 8:58 p.m.