Triple
T33015783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gather, Darkness! |
E844771
|
entity |
| Predicate | fictionalTechnologyUsedAs |
P134760
|
FINISHED |
| Object | simulated miracles |
—
|
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: simulated miracles | Statement: [Gather, Darkness!, fictionalTechnologyUsedAs, simulated miracles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalTechnologyUsedAs Context triple: [Gather, Darkness!, fictionalTechnologyUsedAs, simulated miracles]
-
A.
featuresFictionalTechnology
Indicates that an entity includes, depicts, or makes use of imagined or speculative technology that does not exist in reality.
-
B.
usesTechnologyInStory
Indicates that an entity incorporates or employs a particular technology within the context of a narrative or story.
-
C.
fictionalInvention
chosen
Indicates that one entity is an invention or creation that exists only within the fictional context of another entity (such as a story, universe, or work).
-
D.
technologyUsedIn
Indicates that a particular technology is employed or applied within a specific process, product, context, or domain.
-
E.
usesTechnologyParodyOf
Indicates a relationship where one entity employs a technological parody or spoof version of another entity or concept.
- 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
Created at: May 1, 2026, 1:23 a.m.