Triple
T35799069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Autumnal |
E1034916
|
entity |
| Predicate | usesSeasonAsHorrorElement |
P194825
|
FINISHED |
| Object | autumn |
—
|
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: autumn | Statement: [The Autumnal, usesSeasonAsHorrorElement, autumn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSeasonAsHorrorElement Context triple: [The Autumnal, usesSeasonAsHorrorElement, autumn]
-
A.
hasHorrorElements
Indicates that something contains features, themes, or stylistic aspects characteristic of the horror genre.
-
B.
hasBodyHorrorElements
Indicates that something contains disturbing transformations, mutilations, or violations of the body that evoke horror.
-
C.
usesHorrorAsMetaphorFor
Indicates that something employs horror elements or themes as a symbolic device to represent, comment on, or explore another concept, issue, or experience.
-
D.
hasHorrorSubgenre
Indicates that a horror work is classified as belonging to a specific horror subgenre.
-
E.
hasUseSeason
Indicates the season or time of year during which something is intended or suitable to be used.
- F. None of above. chosen
Provenance (4 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
| PDg | Predicate description generation | batch_69fd884b9d908190833de9500ff6d62a |
completed | May 8, 2026, 6:52 a.m. |
Created at: May 3, 2026, 4:06 p.m.