Triple
T12278129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comedians in Cars Getting Coffee |
E292643
|
entity |
| Predicate | originalPlatformType |
P61964
|
FINISHED |
| Object | streaming |
—
|
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: streaming | Statement: [Comedians in Cars Getting Coffee, originalPlatformType, streaming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPlatformType Context triple: [Comedians in Cars Getting Coffee, originalPlatformType, streaming]
-
A.
originPlatform
chosen
Indicates the platform, system, or environment from which an entity, event, or piece of data originally comes.
-
B.
originalPlatformGeneration
Indicates that one platform is the initial or first-generation version from which another platform or subsequent generations are derived.
-
C.
typicalPlatform
Indicates that something commonly or usually serves as the platform or environment on which another thing operates, appears, or is based.
-
D.
recognizedPlatform
Indicates that one entity is acknowledged or accepted as an official or valid platform by another entity or authority.
-
E.
consideredPlatform
Indicates that one entity is regarded or treated as a platform (e.g., a base, medium, or environment) for another entity or activity.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9261e1570819084bb4fdb44aa6aea |
completed | April 10, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69d91c4d9a9c8190aeb7beaf9792d8f0 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.