Triple
T5461849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian cinema |
E122609
|
entity |
| Predicate | digitalShift |
P39633
|
FINISHED |
| Object | adoption of digital 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: adoption of digital filmmaking | Statement: [Indian cinema, digitalShift, adoption of digital filmmaking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digitalShift Context triple: [Indian cinema, digitalShift, adoption of digital filmmaking]
-
A.
digitalRelease
Indicates that a work is made available to the public through digital or online distribution channels.
-
B.
switchedToDigitalOnly
Indicates that an entity has transitioned from offering physical or hybrid formats to providing only digital versions of its product or service.
-
C.
discretizes
Indicates that one entity converts or partitions another entity into a finite set of discrete parts, intervals, or categories.
-
D.
conversionProcess
chosen
Indicates a process in which something is transformed or changed from one state, form, or representation into another.
-
E.
digitalZoom
Indicates that an image or video is magnified by digitally enlarging pixels rather than by using optical lens adjustment.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.