Triple
T33825040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Hora da Estrela |
E866933
|
entity |
| Predicate | notableAwardForFilmAdaptation |
—
|
GENERATED |
| Object | Silver Bear for Best Actress at Berlin International Film Festival |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAwardForFilmAdaptation Context triple: [A Hora da Estrela, notableAwardForFilmAdaptation, Silver Bear for Best Actress at Berlin International Film Festival]
-
A.
notableAdaptationPerformance
Indicates that an entity is recognized for a significant performance in an adaptation of another work.
-
B.
notableAdaptation
Indicates that one work is a significant adaptation or reinterpretation of another work.
-
C.
notableAdaptationElement
Indicates that one work is a significant adaptation or reinterpretation of another work.
-
D.
notableForAdaptationsOf
Indicates that one entity is recognized or distinguished for creating, producing, or being associated with adaptations of another entity.
-
E.
filmAdaptationAward
Indicates that an award is given specifically in recognition of a film adaptation of an existing work.
- F. None of above. chosen
Provenance (1 batch)
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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:46 a.m.