Triple
T20623606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cradle of Filth |
E506760
|
entity |
| Predicate | hasVisualTheme |
P82972
|
FINISHED |
| Object | gothic horror aesthetics |
—
|
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: gothic horror aesthetics | Statement: [Cradle of Filth, hasVisualTheme, gothic horror aesthetics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisualTheme Context triple: [Cradle of Filth, hasVisualTheme, gothic horror aesthetics]
-
A.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
B.
supportsThemingSystem
Indicates that an entity is compatible with and can operate using a theming system for customizable appearance or style.
-
C.
hasThemingDetail
Indicates that something includes or is associated with a specific thematic element, motif, or stylistic detail.
-
D.
usesThemeFrom
Indicates that one work incorporates, references, or is based on the thematic material of another work.
-
E.
graphicsTheme
chosen
Indicates the visual style or design motif that characterizes how something is graphically presented or themed.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe3177c8190ad1b2ca8b1e0a560 |
completed | April 20, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:42 a.m.