Triple
T3699009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tideland |
E78527
|
entity |
| Predicate | filmmakingStyle |
P41012
|
FINISHED |
| Object | visually stylized |
—
|
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: visually stylized | Statement: [Tideland, filmmakingStyle, visually stylized]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmmakingStyle Context triple: [Tideland, filmmakingStyle, visually stylized]
-
A.
filmingTechnique
Indicates the specific method or style used to capture visual content during the filming process.
-
B.
hasFilmStyle
chosen
Indicates that a film exhibits or is characterized by a particular cinematic style or aesthetic approach.
-
C.
filmDirection
Indicates that one entity is the director responsible for overseeing the creative and practical aspects of producing the film represented by the other entity.
-
D.
cinematographyBy
Indicates that the cinematographic work (such as the camera work or visual style of a film or video) is created or supervised by a specified person or entity.
-
E.
filmType
Indicates the specific category or genre that a film belongs to.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc513d26c8190bfdf25f62af8c6ca |
completed | March 8, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.