Triple
T2522238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gisele Bündchen |
E55548
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Gisele |
E10135
|
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: Gisele | Statement: [Gisele Bündchen, givenName, Gisele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gisele Context triple: [Gisele Bündchen, givenName, Gisele]
-
A.
Gisele Bündchen
chosen
Gisele Bündchen is a Brazilian supermodel and environmental activist widely recognized as one of the most successful and influential fashion models of all time.
-
B.
Alessandra Ambrosio
Alessandra Ambrosio is a Brazilian supermodel and actress best known for her long-running work with Victoria’s Secret and status as one of the world’s most recognizable fashion models.
-
C.
Graziella Bündchen
Graziella Bündchen is the sister of Brazilian supermodel Gisele Bündchen and a member of the Bündchen family.
-
D.
Adriana Lima
Adriana Lima is a Brazilian supermodel and actress best known for her long-running work with Victoria’s Secret and status as one of the world’s highest-paid models.
-
E.
Claudia Schiffer
Claudia Schiffer is a German supermodel and actress who rose to international fame in the 1990s as one of the era’s most prominent fashion icons.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd23895348190bb4dad6d7174893a |
completed | March 7, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5cf0939c8190b7f7babc487c43cd |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:46 p.m.