Triple
T6371803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Start TV |
E143364
|
entity |
| Predicate | typicalContentType |
P15169
|
FINISHED |
| Object | scripted series |
—
|
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: scripted series | Statement: [Start TV, typicalContentType, scripted series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalContentType Context triple: [Start TV, typicalContentType, scripted series]
-
A.
typicalMIMEType
Indicates the standard or most commonly used MIME (media) type associated with a given resource or format.
-
B.
featuredContentType
Indicates the specific type or category of content that is highlighted or promoted as featured.
-
C.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
D.
broadcastsContentType
chosen
Indicates that an entity (such as a broadcaster or channel) transmits or distributes content of a specified type.
-
E.
typicalCoreType
Indicates that something is a standard or characteristic core type within a given classification or 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068289eac8190a17affed87340c1f |
completed | March 22, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69c060ee055081908c79a1d151bd74cd |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:33 p.m.