Triple
T12207840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great American Dream Machine |
E290879
|
entity |
| Predicate | broadcastChannelType |
P17479
|
FINISHED |
| Object | non-commercial 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: non-commercial television | Statement: [The Great American Dream Machine, broadcastChannelType, non-commercial television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastChannelType Context triple: [The Great American Dream Machine, broadcastChannelType, non-commercial television]
-
A.
broadcastType
Indicates the specific mode or category of broadcasting used to transmit content (e.g., live, recorded, streaming, or other broadcast formats) between entities.
-
B.
broadcastVia
Indicates that an action, message, or content is transmitted or disseminated through a specified medium, channel, or platform.
-
C.
broadcastPlatform
chosen
Indicates the platform or channel through which content is broadcast or transmitted.
-
D.
broadcasterType
Indicates the category or kind of broadcaster involved in the relationship or action (e.g., public, commercial, online).
-
E.
broadcastsContentType
Indicates that an entity (such as a broadcaster or channel) transmits or distributes content of a specified type.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.