Triple
T13728402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breaking the Waves |
E329725
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Vibeke Windeløv |
E800520
|
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: Vibeke Windeløv | Statement: [Breaking the Waves, producer, Vibeke Windeløv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vibeke Windeløv Context triple: [Breaking the Waves, producer, Vibeke Windeløv]
-
A.
Vibeke Windeløv
chosen
Vibeke Windeløv is a Danish film producer best known for her long-time collaboration with director Lars von Trier on several acclaimed art-house films.
-
B.
Birgitte Hjort Sørensen
Birgitte Hjort Sørensen is a Danish actress known for her roles in the political drama series "Borgen" and various international film and television productions.
-
C.
Gitte Nielsen
Gitte Nielsen is a Danish actress, model, and television personality best known for her roles in 1980s films such as "Red Sonja" and "Rocky IV."
-
D.
Margrethe Backer
Margrethe Backer was a Norwegian woman known primarily as the mother of police chief and writer Kristian Welhaven.
-
E.
Lene Børglum
Lene Børglum is a Danish film producer known for her collaborations with director Nicolas Winding Refn on several acclaimed independent films.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6302e081908e2680443852d9fd |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.