Triple
T33825040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Hora da Estrela |
E866933
|
entity |
| Predicate | notableAwardForFilmAdaptation |
P206683
|
FINISHED |
| Object | Silver Bear for Best Actress at Berlin International Film Festival |
E50482
|
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: Silver Bear for Best Actress at Berlin International Film Festival | Statement: [A Hora da Estrela, notableAwardForFilmAdaptation, Silver Bear for Best Actress at Berlin International Film Festival]
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 (5 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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a366ea29a7c8190bccc4086cf9d2471 |
completed | June 20, 2026, 10:42 a.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:46 a.m.