Triple
T3692221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowpiercer (US distribution) |
E78367
|
entity |
| Predicate | distributionCompanyType |
P29986
|
FINISHED |
| Object | independent film distributor |
—
|
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 film distributor | Statement: [Snowpiercer (US distribution), distributionCompanyType, independent film distributor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributionCompanyType Context triple: [Snowpiercer (US distribution), distributionCompanyType, independent film distributor]
-
A.
distributorType
chosen
Indicates the specific category or role of a distributor in relation to the distribution of a product or service.
-
B.
distributor
Indicates that an entity is responsible for supplying, delivering, or making another entity’s products or materials available to others.
-
C.
distributionBy
Indicates how something is allocated, arranged, or spread according to a specified criterion or grouping.
-
D.
distributedBrand
Indicates that one entity serves as a distributor or reseller for the brand of another entity.
-
E.
productionCompanyType
Indicates the specific category or kind of production company associated with a given entity.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e783a88190b2837a68b8723a25 |
completed | March 8, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.