Triple
T20910364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paula Mariana Joana Carlota de Bragança |
E514923
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Joana
Joana is a given name used as part of the full name Paula Mariana Joana Carlota de Bragança, likely belonging to a member of the Portuguese or Brazilian Braganza royal family.
|
E1457112
|
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: Joana | Statement: [Paula Mariana Joana Carlota de Bragança, givenName, Joana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joana Context triple: [Paula Mariana Joana Carlota de Bragança, givenName, Joana]
-
A.
Joana
"Joana" is a popular Afrobeat song by Nigerian singer and producer Selebobo.
-
B.
Rosana
Rosana is a municipality in the state of São Paulo, Brazil, known for hosting a campus of São Paulo State University (UNESP).
-
C.
Rosana
Rosana is a Brazilian professional footballer known for her successful international career and contributions to top women’s clubs, including Avaldsnes IL.
-
D.
Marcela
Marcela is one of the given names of Alexia Juliana Marcela Laurentien, a member of the Dutch royal family.
-
E.
Suzana
Suzana is the birth name of American actress Sasha Alexander, known for her roles in television series such as NCIS and Rizzoli & Isles.
- 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: Joana Triple: [Paula Mariana Joana Carlota de Bragança, givenName, Joana]
Generated description
Joana is a given name used as part of the full name Paula Mariana Joana Carlota de Bragança, likely belonging to a member of the Portuguese or Brazilian Braganza royal family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joana Target entity description: Joana is a given name used as part of the full name Paula Mariana Joana Carlota de Bragança, likely belonging to a member of the Portuguese or Brazilian Braganza royal family.
-
A.
Joana
"Joana" is a popular Afrobeat song by Nigerian singer and producer Selebobo.
-
B.
Rosana
Rosana is a Brazilian professional footballer known for her successful international career and contributions to top women’s clubs, including Avaldsnes IL.
-
C.
Rosana
Rosana is a municipality in the state of São Paulo, Brazil, known for hosting a campus of São Paulo State University (UNESP).
-
D.
Marcela
Marcela is one of the given names of Alexia Juliana Marcela Laurentien, a member of the Dutch royal family.
-
E.
Suzana
Suzana is the birth name of American actress Sasha Alexander, known for her roles in television series such as NCIS and Rizzoli & Isles.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec5e3f988190932956119197e3b1 |
completed | April 21, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0918dc2f9481908a7364ce25f11eb0 |
completed | May 17, 2026, 1:24 a.m. |
| NEDg | Description generation | batch_6a091bee5e3c8190adc31821815f7878 |
completed | May 17, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a091c9c47048190be29a12c1d074d98 |
completed | May 17, 2026, 1:40 a.m. |
Created at: April 16, 2026, 12:48 p.m.