Triple
T16649219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New World Pictures |
E404557
|
entity |
| Predicate | importedContentType |
P640
|
FINISHED |
| Object | foreign-language films |
—
|
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: foreign-language films | Statement: [New World Pictures, importedContentType, foreign-language films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importedContentType Context triple: [New World Pictures, importedContentType, foreign-language films]
-
A.
importedWith
Indicates that one entity was brought into a system, context, or location together with or as part of another entity during an import process.
-
B.
imported
Indicates that something was brought into a country, system, or context from an external source.
-
C.
importedCommodity
Indicates that a commodity has been brought into a country or region from abroad through import activities.
-
D.
describesContentType
Indicates that one entity specifies or characterizes the type or category of content associated with another entity.
-
E.
hasContentType
chosen
Indicates that an entity is associated with or classified by a specific type of content.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad85ec881909dc6a434a363dab1 |
completed | April 18, 2026, 12:36 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.