Triple
T8889179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garrett Fort |
E211619
|
entity |
| Predicate | notedStyle |
P46274
|
FINISHED |
| Object | atmospheric horror storytelling |
—
|
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: atmospheric horror storytelling | Statement: [Garrett Fort, notedStyle, atmospheric horror storytelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notedStyle Context triple: [Garrett Fort, notedStyle, atmospheric horror storytelling]
-
A.
notableSubstyle
Indicates that one style is a notable or distinct subcategory within another broader style.
-
B.
notableStyleFeature
chosen
Indicates that an entity possesses a distinctive stylistic characteristic or design element that is especially noteworthy or defining.
-
C.
notableStyleRegion
Indicates that a particular style, manner, or artistic approach is especially characteristic of or prominent within a specific geographic region.
-
D.
notableWorkStyle
Indicates a stylistic characteristic or distinctive manner associated with a notable work created by the subject.
-
E.
notedIn
Indicates that information about one entity is mentioned, recorded, or referenced within another entity, such as a document, record, or source.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618f94108190b03248832bfe68a9 |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2aec04819093c932fe51c0f08d |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:53 p.m.