Triple
T13135972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seu Jorge |
E312082
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object |
Ana Carolina
Ana Carolina is a Brazilian singer-songwriter and musician known for her deep, powerful voice and blend of MPB, pop, and samba influences.
|
E1022129
|
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: Ana Carolina | Statement: [Seu Jorge, hasCollaboratedWith, Ana Carolina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ana Carolina Context triple: [Seu Jorge, hasCollaboratedWith, Ana Carolina]
-
A.
Ana Paula dos Santos
Ana Paula dos Santos is the former First Lady of Angola and the wife of long-serving Angolan president José Eduardo dos Santos.
-
B.
Luciana Souza
Luciana Souza is a Brazilian jazz singer and composer acclaimed for her sophisticated vocal style and innovative blend of Brazilian music and contemporary jazz.
-
C.
Anacã Nicoli
Anacã Nicoli is the son of South African supermodel Candice Swanepoel and Brazilian model Hermann Nicoli.
-
D.
Lais Ribeiro
Lais Ribeiro is a Brazilian fashion model best known for her work with Victoria’s Secret and appearances in its high-profile runway shows.
-
E.
Eliane Cavalleiro
Eliane Cavalleiro is a Brazilian academic and activist known for her work on racial and gender equality in education.
- 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: Ana Carolina Triple: [Seu Jorge, hasCollaboratedWith, Ana Carolina]
Generated description
Ana Carolina is a Brazilian singer-songwriter and musician known for her deep, powerful voice and blend of MPB, pop, and samba influences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ana Carolina Target entity description: Ana Carolina is a Brazilian singer-songwriter and musician known for her deep, powerful voice and blend of MPB, pop, and samba influences.
-
A.
Ana Paula dos Santos
Ana Paula dos Santos is the former First Lady of Angola and the wife of long-serving Angolan president José Eduardo dos Santos.
-
B.
Luciana Souza
Luciana Souza is a Brazilian jazz singer and composer acclaimed for her sophisticated vocal style and innovative blend of Brazilian music and contemporary jazz.
-
C.
Anacã Nicoli
Anacã Nicoli is the son of South African supermodel Candice Swanepoel and Brazilian model Hermann Nicoli.
-
D.
Lais Ribeiro
Lais Ribeiro is a Brazilian fashion model best known for her work with Victoria’s Secret and appearances in its high-profile runway shows.
-
E.
Eliane Cavalleiro
Eliane Cavalleiro is a Brazilian academic and activist known for her work on racial and gender equality in education.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b53fbc8190a0f209c32a00f6cb |
completed | April 10, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e295b3408190a7246115d3ee90e5 |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e3a950548190836e24621a5ece74 |
completed | May 3, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e454f95c8190b023c5d141999dd8 |
completed | May 3, 2026, 5:59 a.m. |
Created at: April 9, 2026, 9:08 p.m.