Triple
T28667902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unaussprechlichen Kulten |
E725630
|
entity |
| Predicate | effectInFiction |
P126720
|
FINISHED |
| Object | drives readers to madness |
—
|
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: drives readers to madness | Statement: [Unaussprechlichen Kulten, effectInFiction, drives readers to madness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectInFiction Context triple: [Unaussprechlichen Kulten, effectInFiction, drives readers to madness]
-
A.
narrativeEffect
chosen
Indicates how one event, action, or element in a story influences the progression, tone, or interpretation of the overall narrative.
-
B.
worksUnderInFiction
Indicates that, within a fictional context or narrative, one character or entity is hierarchically subordinate to and takes direction from another.
-
C.
broadcastInFiction
Indicates that an event, message, or program is depicted as being broadcast within a fictional work or narrative world.
-
D.
fictionalFocus
Indicates that the primary emphasis or attention within a context is placed on fictional content, elements, or aspects.
-
E.
eraWithinFiction
Indicates that a time period or era exists inside the narrative world or timeline of a fictional work.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 28, 2026, 5:02 a.m.