Triple
T6135623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creepshow |
E136823
|
entity |
| Predicate | setDecorationStyle |
P2788
|
FINISHED |
| Object | comic book panel aesthetic |
—
|
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: comic book panel aesthetic | Statement: [Creepshow, setDecorationStyle, comic book panel aesthetic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setDecorationStyle Context triple: [Creepshow, setDecorationStyle, comic book panel aesthetic]
-
A.
decorationClass
Indicates that one entity serves as a decorative classification or style category applied to another entity.
-
B.
valorDecoration
Indicates that an entity has been awarded a decoration or honor specifically in recognition of acts of valor or bravery.
-
C.
typeOfDecoration
chosen
Indicates the specific kind or style of decoration associated with an entity or applied in a given context.
-
D.
deformationStyle
Indicates the manner or pattern in which an object or material is deformed under applied forces or conditions.
-
E.
relatedDecoration
Indicates that one decoration is associated with, complements, or is contextually linked to another decoration.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c80a6088190a028967b682fed2b |
completed | March 22, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c055f19b0c81908be34a00ab218723 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:15 p.m.