Triple
T4760754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hispanic television networks |
E105691
|
entity |
| Predicate | commonContentType |
P15169
|
FINISHED |
| Object | telenovelas |
—
|
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: telenovelas | Statement: [Hispanic television networks, commonContentType, telenovelas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonContentType Context triple: [Hispanic television networks, commonContentType, telenovelas]
-
A.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
B.
featuredContentType
Indicates the specific type or category of content that is highlighted or promoted as featured.
-
C.
broadcastsContentType
chosen
Indicates that an entity (such as a broadcaster or channel) transmits or distributes content of a specified type.
-
D.
offersContentType
Indicates that one entity provides or makes available content of a specified type to another entity or context.
-
E.
typicalMIMEType
Indicates the standard or most commonly used MIME (media) type associated with a given resource or format.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650eefe08190b99f9f01b121dbfd |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd6225c9488190afee5bb3619d0365 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.