Triple
T3819115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CBS Television Distribution |
E84328
|
entity |
| Predicate | distributedGenre |
P39596
|
FINISHED |
| Object | daytime talk shows |
—
|
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: daytime talk shows | Statement: [CBS Television Distribution, distributedGenre, daytime talk shows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributedGenre Context triple: [CBS Television Distribution, distributedGenre, daytime talk shows]
-
A.
genreDiversity
Indicates the extent to which an entity involves, includes, or spans multiple distinct genres rather than being confined to a single genre.
-
B.
broadcastGenre
chosen
Indicates the genre or category under which a broadcast (such as a TV or radio program) is classified.
-
C.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
-
D.
distributedFilm
Indicates that one entity served as the distributor responsible for releasing or circulating a particular film.
-
E.
genre
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee74a2bc081909b237df8b1e27653 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.