Triple
T25905411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Playhouse |
E652736
|
entity |
| Predicate | hasCinematicInnovation |
P145815
|
FINISHED |
| Object | extensive use of split-screen effects |
—
|
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: extensive use of split-screen effects | Statement: [The Playhouse, hasCinematicInnovation, extensive use of split-screen effects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCinematicInnovation Context triple: [The Playhouse, hasCinematicInnovation, extensive use of split-screen effects]
-
A.
hasCinematicFeature
chosen
Indicates that something possesses a specific cinematic characteristic, quality, or element related to film or visual storytelling.
-
B.
cinematicSignificance
Indicates the degree to which something holds notable importance, influence, or impact within the realm of cinema or film history.
-
C.
hasCinematicShort
Indicates that an entity is associated with or includes a cinematic short film or short-form cinematic content.
-
D.
hasCinematicThemes
Indicates that something incorporates or is characterized by themes, motifs, or stylistic elements commonly associated with cinema or film.
-
E.
hasGenreInnovation
Indicates that something introduces a novel or pioneering approach within its genre or category.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 22, 2026, 8:27 a.m.