Triple
T37254241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaroslav Papoušek |
E924078
|
entity |
| Predicate | typeOfWorkWritten |
P1366
|
FINISHED |
| Object | screenplays |
—
|
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: screenplays | Statement: [Jaroslav Papoušek, typeOfWorkWritten, screenplays]
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 (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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a035ac41d088190b7e76b93c1410090 |
completed | May 12, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_6a035a4f290c8190a0101295a38ae8b8 |
completed | May 12, 2026, 4:50 p.m. |
Created at: May 3, 2026, 4:15 p.m.