Triple
T36653124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hosea Chanchez |
E904915
|
entity |
| Predicate | hasNotableTVGenre |
—
|
GENERATED |
| Object | comedy-drama |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableTVGenre Context triple: [Hosea Chanchez, hasNotableTVGenre, comedy-drama]
-
A.
hasNotableGenre
chosen
Indicates that an entity is significantly associated with a particular genre, such that the genre is especially characteristic or noteworthy for that entity.
-
B.
hasNotableTelevisionSeries
Indicates that an entity is associated with one or more television series that are considered notable or significant.
-
C.
notableGenreSeries
Indicates that a series is notably associated with or recognized for a particular genre.
-
D.
hasNotableGenreContext
Indicates that an entity’s genre is significant or noteworthy in understanding its context, interpretation, or impact.
-
E.
hasNotableSubgenre
Indicates that one genre is recognized as a particularly significant or prominent subgenre of another genre.
- F. None of above.
Provenance (1 batch)
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_69f76e6d3a3c81909db73eda9e0516bd |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:11 p.m.