Triple
T37254241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaroslav Papoušek |
E924078
|
entity |
| Predicate | typeOfWorkWritten |
—
|
GENERATED |
| Object | screenplays |
—
|
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: typeOfWorkWritten Context triple: [Jaroslav Papoušek, typeOfWorkWritten, screenplays]
-
A.
genreOfWorkContributedTo
Indicates that an entity contributed to a work belonging to a specified genre.
-
B.
fieldOfWriting
Indicates that one entity is the domain, genre, or subject area in which another entity writes or produces written work.
-
C.
literatureType
Indicates the specific category or genre of literature that characterizes or classifies a given work or text.
-
D.
genreOfWorkAbout
Indicates that a work is about a particular genre, expressing that the work’s subject matter or focus concerns that genre.
-
E.
typeOfWork
chosen
Indicates the kind or category of work associated with or performed by an entity.
- 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:15 p.m.