Triple
T22513422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scripps Broadcasting division |
E556578
|
entity |
| Predicate | isPartOfMediaType |
P5540
|
FINISHED |
| Object | traditional broadcast media |
—
|
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: traditional broadcast media | Statement: [Scripps Broadcasting division, isPartOfMediaType, traditional broadcast media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfMediaType Context triple: [Scripps Broadcasting division, isPartOfMediaType, traditional broadcast media]
-
A.
isPartOfType
chosen
Indicates that one type or category is a constituent or subset within a larger, encompassing type or category.
-
B.
ownedMediaType
Indicates the type or category of media content that is owned in the context of the ownership relationship.
-
C.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
D.
isPartOfMediaComplex
Indicates that one media entity belongs to, or is a component within, a larger media complex or conglomerate.
-
E.
mediaTypeOrigin
Indicates the original source or context from which a particular media type was derived or introduced.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d62bea48190aaf34aa93bb3f67b |
completed | April 29, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.