Triple
T13906845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMUGGLER Entertainment |
E334374
|
entity |
| Predicate | contentDistributionChannel |
P39433
|
FINISHED |
| Object | television |
—
|
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: television | Statement: [SMUGGLER Entertainment, contentDistributionChannel, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentDistributionChannel Context triple: [SMUGGLER Entertainment, contentDistributionChannel, television]
-
A.
distributionHub
Indicates a location or facility that serves as a central point for receiving, sorting, and redistributing goods or resources to multiple destinations.
-
B.
distributesContentTo
chosen
Indicates that one entity delivers or makes content available to another entity or set of entities.
-
C.
secondaryDistributionChannel
Indicates that an entity is used as an additional, non-primary channel through which a product, service, or content is distributed.
-
D.
workDistributionChannel
Indicates how work, tasks, or services are delivered or routed through specific channels from providers to recipients.
-
E.
targetDistribution
Indicates the intended allocation or spread of something (such as resources, data, or outputs) across specified targets or recipients.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25dc26cc8190a7909980b1d34933 |
completed | April 14, 2026, 11:32 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:16 p.m.