Triple
T2678138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Bündchen |
E56507
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Vânia Nonnenmacher
Vânia Nonnenmacher is a Brazilian woman best known as the mother of supermodel Gisele Bündchen.
|
E288482
|
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: Vânia Nonnenmacher | Statement: [Patricia Bündchen, hasRelative, Vânia Nonnenmacher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vânia Nonnenmacher Context triple: [Patricia Bündchen, hasRelative, Vânia Nonnenmacher]
-
A.
Mariana Teixeira de Carvalho
Mariana Teixeira de Carvalho is a Brazilian lawyer best known as the wife of U2 bassist Adam Clayton.
-
B.
Fernanda Tadeu
Fernanda Tadeu is a Portuguese educator and public figure best known as the wife of former Prime Minister António Costa.
-
C.
Luciana Barroso
Luciana Barroso is an Argentine former bartender and flight attendant best known as the wife of American actor Matt Damon.
-
D.
Vera Lúcia Cabreira
Vera Lúcia Cabreira was the wife of renowned Brazilian architect Oscar Niemeyer.
-
E.
Regina Silveira
Regina Silveira is a Brazilian contemporary artist renowned for her conceptual installations and explorations of shadow, perspective, and spatial perception.
- 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: Vânia Nonnenmacher Triple: [Patricia Bündchen, hasRelative, Vânia Nonnenmacher]
Generated description
Vânia Nonnenmacher is a Brazilian woman best known as the mother of supermodel Gisele Bündchen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vânia Nonnenmacher Target entity description: Vânia Nonnenmacher is a Brazilian woman best known as the mother of supermodel Gisele Bündchen.
-
A.
Mariana Teixeira de Carvalho
Mariana Teixeira de Carvalho is a Brazilian lawyer best known as the wife of U2 bassist Adam Clayton.
-
B.
Fernanda Tadeu
Fernanda Tadeu is a Portuguese educator and public figure best known as the wife of former Prime Minister António Costa.
-
C.
Luciana Barroso
Luciana Barroso is an Argentine former bartender and flight attendant best known as the wife of American actor Matt Damon.
-
D.
Vera Lúcia Cabreira
Vera Lúcia Cabreira was the wife of renowned Brazilian architect Oscar Niemeyer.
-
E.
Regina Silveira
Regina Silveira is a Brazilian contemporary artist renowned for her conceptual installations and explorations of shadow, perspective, and spatial perception.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b697fc8190a5ec8b75ee2ad238 |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa065a6f48190973a3b6c52aa23bf |
completed | March 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69afa1c4d33c8190b8efa8c1dac0772f |
completed | March 10, 2026, 4:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa24388f48190854fdbac52ee8a03 |
completed | March 10, 2026, 4:46 a.m. |
Created at: March 6, 2026, 9:54 p.m.