Triple
T2694327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graziella Bündchen |
E58475
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Gabriela Bündchen |
E325817
|
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: Gabriela Bündchen | Statement: [Graziella Bündchen, relative, Gabriela Bündchen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriela Bündchen Context triple: [Graziella Bündchen, relative, Gabriela Bündchen]
-
A.
Gabriela Bündchen
chosen
Gabriela Bündchen is a member of the Bündchen family, which is best known for including Brazilian supermodel Gisele Bündchen and her relatives.
-
B.
Graziella Bündchen
Graziella Bündchen is the sister of Brazilian supermodel Gisele Bündchen and a member of the Bündchen family.
-
C.
Gisele Bündchen
Gisele Bündchen is a Brazilian supermodel and environmental activist widely recognized as one of the most successful and influential fashion models of all time.
-
D.
Raquel Bündchen
Raquel Bündchen is a member of the Bündchen family, which is best known internationally through Brazilian supermodel Gisele Bündchen and her relatives.
-
E.
Patricia Bündchen
Patricia Bündchen is the fraternal twin sister of Brazilian supermodel Gisele Bündchen, known for working closely with her as a manager and business partner.
- 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_69b261c141f88190aaf340c92499b88b |
completed | March 12, 2026, 6:48 a.m. |
Created at: March 6, 2026, 9:55 p.m.