Triple
T21195501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balochi cinema |
E522313
|
entity |
| Predicate | commonProductionModel |
P2475
|
FINISHED |
| Object | independent filmmaking |
—
|
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: independent filmmaking | Statement: [Balochi cinema, commonProductionModel, independent filmmaking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonProductionModel Context triple: [Balochi cinema, commonProductionModel, independent filmmaking]
-
A.
manufacturingModel
Indicates that one entity serves as the manufacturing model, design, or template according to which another entity is produced or manufactured.
-
B.
usesProductionModel
Indicates that one entity employs or relies on another entity as its primary or official production model in practice.
-
C.
producedModel
Indicates that one entity created, manufactured, or generated the other entity as a model or product.
-
D.
typicalProductionType
chosen
Indicates the usual or characteristic type of production activity associated with an entity.
-
E.
componentTypeProduced
Indicates that one entity produces or manufactures a specific type of component as an output of its activity or process.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333aa0fc81909b17eb6a26f389ec |
completed | April 21, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:08 p.m.