Triple
T3350666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Bear for Best Short Film |
E70483
|
entity |
| Predicate | awardTier |
P18108
|
FINISHED |
| Object | top short-film prize at the Berlin International Film Festival |
—
|
LITERAL 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: top short-film prize at the Berlin International Film Festival | Statement: [Golden Bear for Best Short Film, awardTier, top short-film prize at the Berlin International Film Festival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardTier Context triple: [Golden Bear for Best Short Film, awardTier, top short-film prize at the Berlin International Film Festival]
-
A.
awardOrRanking
Indicates that there is an award, honor, or ranking status conferred on or associated with an entity.
-
B.
hasAwardLevel
chosen
Indicates that an entity possesses or has been assigned a specific level, tier, or rank within an award or recognition system.
-
C.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
D.
awardClass
Indicates the classification or category assigned to an award within an award-giving system.
-
E.
awardStatus
Indicates the current state or outcome of an award in relation to an entity, such as whether it has been granted, pending, rejected, or completed.
- F. None of above.
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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb220721c81909eb4d8d35c923927 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42fbe7c8190b9f185b5ab985f17 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.