Triple
T22436401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Short Term 12 |
E554634
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Cinedigm |
—
|
NE NERFINISHED |
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: Cinedigm | Statement: [Short Term 12, distributor, Cinedigm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cinedigm Context triple: [Short Term 12, distributor, Cinedigm]
-
A.
Cinedigm
chosen
Cinedigm is an American entertainment company that specializes in the distribution and streaming of independent films, documentaries, and niche content across digital and physical platforms.
-
B.
PVR Pictures
PVR Pictures is an Indian film distribution and production company known for releasing a wide range of domestic and international movies in India.
-
C.
Cinecom Entertainment Group
Cinecom Entertainment Group was an American independent film distribution company known for releasing acclaimed art-house and foreign films during the 1980s and early 1990s.
-
D.
Entertainment One
Entertainment One is a multinational entertainment company known for producing and distributing films, television programming, and other media content worldwide.
-
E.
Fandango Media
Fandango Media is an American entertainment company best known for its online movie ticketing services and ownership of several film and TV review and streaming platforms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ade60508190b0100d5c2843b920 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 16, 2026, 8:47 p.m.