Triple
T3769213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biennale College – Cinema |
E82755
|
entity |
| Predicate | supportsCreationOf |
P290
|
FINISHED |
| Object | low-budget feature films |
—
|
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: low-budget feature films | Statement: [Biennale College – Cinema, supportsCreationOf, low-budget feature films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCreationOf Context triple: [Biennale College – Cinema, supportsCreationOf, low-budget feature films]
-
A.
supportedCreationOf
chosen
Indicates that one entity actively aided, endorsed, or facilitated the bringing into existence or establishment of another entity.
-
B.
hasCreation
Indicates a relationship where one entity is the creator or originator of another entity.
-
C.
supportsUse
Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
-
D.
supportsValidationOf
Indicates that one entity provides the mechanisms or conditions necessary for another entity to be checked or verified for correctness or compliance.
-
E.
supportsRegistration
Indicates that an entity provides the capability or functionality to handle or accept registration actions or processes.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc2d4b848190bf63fb3ed5d3b2d9 |
completed | March 8, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69adc04ec36c8190bd5b944d4f4d32aa |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.