Triple
T21899563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blackening |
E540770
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | MRC Film |
—
|
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: MRC Film | Statement: [The Blackening, productionCompany, MRC Film]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MRC Film Context triple: [The Blackening, productionCompany, MRC Film]
-
A.
MRC Film
chosen
MRC Film is an American film and television production company known for backing a range of high-profile, commercially successful and critically acclaimed projects.
-
B.
Mavin Films
Mavin Films is the film and visual content production arm associated with Nigerian music label Mavin Records.
-
C.
MPC Film
MPC Film is a major visual effects and animation studio known for creating high-end CGI and VFX for blockbuster films and television.
-
D.
Mews Films
Mews Films is a film production company known for producing the movie "The Stolen."
-
E.
M6 Films
M6 Films is a French film production company known for backing popular international action and thriller movies.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fca2bf88190b2a5b912aa102513 |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:07 p.m.