Triple
T6068636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pluto TV |
E135222
|
entity |
| Predicate | contentDeliveryModel |
P15886
|
FINISHED |
| Object | linear channels |
—
|
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: linear channels | Statement: [Pluto TV, contentDeliveryModel, linear channels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentDeliveryModel Context triple: [Pluto TV, contentDeliveryModel, linear channels]
-
A.
distributesContentTo
Indicates that one entity delivers or makes content available to another entity or set of entities.
-
B.
deliveryType
chosen
Indicates the method or mode by which a product, service, or item is delivered or fulfilled.
-
C.
offersContentType
Indicates that one entity provides or makes available content of a specified type to another entity or context.
-
D.
publishingModel
Indicates the method or framework by which content is produced, distributed, and made publicly available.
-
E.
featuredContentType
Indicates the specific type or category of content that is highlighted or promoted as featured.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0574157848190bb8e0972eb55a363 |
completed | March 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69c049f031408190b08b2766237c5dd0 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:10 p.m.