Triple
T22427405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Room |
E554407
|
entity |
| Predicate | distributedBy |
P1951
|
FINISHED |
| Object | Elevation Pictures |
—
|
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: Elevation Pictures | Statement: [Room, distributedBy, Elevation Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elevation Pictures Context triple: [Room, distributedBy, Elevation Pictures]
-
A.
Elevation Pictures
chosen
Elevation Pictures is a Canadian film distribution and production company known for releasing a wide range of independent and studio films in Canada.
-
B.
Elevated Films
Elevated Films is a film production company known for producing the critically acclaimed period drama "Mudbound."
-
C.
Elevated Films
Elevated Films is a film distribution company known for releasing independent and niche feature films such as the 2018 comedy-drama "Dog Days."
-
D.
Avenue Pictures
Avenue Pictures is an American film production company known for producing independent and arthouse movies.
-
E.
Quadrant Pictures
Quadrant Pictures is a film production company known for working on the science fiction movie "Chaos Walking."
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2e438481908d43026727afa709 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.