Triple
T2191481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beat of the Future |
E49870
|
entity |
| Predicate | televisionAudienceScope |
P17058
|
FINISHED |
| Object | national |
—
|
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: national | Statement: [Beat of the Future, televisionAudienceScope, national]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionAudienceScope Context triple: [Beat of the Future, televisionAudienceScope, national]
-
A.
televisionExposureLevel
Indicates the degree or amount of exposure an entity has to television content.
-
B.
viewershipRegion
chosen
Indicates the geographic region or area in which content is viewed or for which its audience is measured.
-
C.
televisionAspect
Indicates the aspect ratio or format characteristics of a television display in relation to its width and height proportions.
-
D.
approximateAudienceSize
Indicates an estimated number of individuals or entities that are expected to be reached or affected in a given context.
-
E.
USNielsenRating
Indicates the television audience rating assigned to a program in the United States according to the Nielsen measurement system.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf3f5e008190beda3ce5d77209e0 |
completed | March 7, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69abbda52328819089c7ab111bebb0ca |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.