Triple
T28667925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unaussprechlichen Kulten |
E725630
|
entity |
| Predicate | riskOfUseInFiction |
P60749
|
FINISHED |
| Object | attracts attention of hostile entities |
—
|
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: attracts attention of hostile entities | Statement: [Unaussprechlichen Kulten, riskOfUseInFiction, attracts attention of hostile entities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riskOfUseInFiction Context triple: [Unaussprechlichen Kulten, riskOfUseInFiction, attracts attention of hostile entities]
-
A.
hasRiskInFiction
chosen
Indicates that a subject is associated with a potential danger, threat, or harmful outcome within a fictional or narrative context.
-
B.
fictionalUse
Indicates that one entity makes use of another within a fictional or imaginary context, rather than in real-world usage.
-
C.
safetyInFiction
Indicates that a work of fiction portrays conditions, measures, or themes related to safety, risk, or protection within its narrative world.
-
D.
threatenedByInFiction
Indicates that, within a fictional context, one entity is portrayed as being threatened by another entity.
-
E.
usedInFictionalWork
Indicates that something (such as a concept, object, or character) appears or is employed within a specific 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_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:02 a.m.