Triple
T10339926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regan MacNeil |
E243101
|
entity |
| Predicate | associatedWithSubgenre |
P71102
|
FINISHED |
| Object | supernatural horror |
—
|
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: supernatural horror | Statement: [Regan MacNeil, associatedWithSubgenre, supernatural horror]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithSubgenre Context triple: [Regan MacNeil, associatedWithSubgenre, supernatural horror]
-
A.
associatedWithGenreScene
Indicates that an entity is connected or related to a particular genre scene, such as a specific stylistic or cultural subcommunity within a broader genre.
-
B.
associatedWithGenreDevelopment
Indicates a relationship where something has contributed to, influenced, or been involved in the development or evolution of a particular genre.
-
C.
subgenre
Indicates that one genre is a more specific, subordinate category within a broader parent genre.
-
D.
secondaryGenre
chosen
Indicates that an entity (such as a work or item) has an additional, non-primary genre classification associated with it.
-
E.
hasNotableSubgenre
Indicates that one genre is recognized as a particularly significant or prominent subgenre of another genre.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:54 a.m.