Triple
T2694324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graziella Bündchen |
E58475
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Valdir Bündchen |
E288483
|
NE FINISHED |
How this triple was built (2 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: Valdir Bündchen | Statement: [Graziella Bündchen, relative, Valdir Bündchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdir Bündchen Context triple: [Graziella Bündchen, relative, Valdir Bündchen]
-
A.
Valdir Bündchen
chosen
Valdir Bündchen is a Brazilian public servant and the father of supermodel Gisele Bündchen.
-
B.
Claudio Miranda
Claudio Miranda is an acclaimed Chilean-born cinematographer best known for his Oscar-winning visual work on films such as "Life of Pi."
-
C.
Cláudio Rossi
Cláudio Rossi was an architect known for his role in designing the historic Municipal Theatre of São Paulo, one of Brazil’s most important cultural landmarks.
-
D.
Rodrigo Santoro
Rodrigo Santoro is a Brazilian actor known internationally for roles in films such as "300," "Love Actually," and "Rio," as well as the TV series "Westworld."
-
E.
Heitor Pereira
Heitor Pereira is a Brazilian composer and musician best known for his film scores, particularly for animated features such as the Despicable Me series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda10a9bc81908473d02ab9116cef |
completed | March 7, 2026, 7:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf6804b48190ac0bfe464da93025 |
completed | March 10, 2026, 5:43 a.m. |
Created at: March 6, 2026, 9:55 p.m.