Triple
T12207548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StyleGAN |
E290872
|
entity |
| Predicate | usesLatentSpace |
P7030
|
FINISHED |
| Object | W space |
—
|
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: W space | Statement: [StyleGAN, usesLatentSpace, W space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLatentSpace Context triple: [StyleGAN, usesLatentSpace, W space]
-
A.
usesNeuralNetworks
Indicates that one entity employs neural network models or techniques as part of its functioning, processing, or decision-making.
-
B.
embeddingType
chosen
Indicates the specific kind or category of embedding representation used to encode an entity or data.
-
C.
usesDRS
Indicates that one entity employs or relies on a specific Decision Review System (DRS) for evaluation, verification, or decision-making purposes.
-
D.
hasNeuralNetwork
Indicates that an entity possesses, incorporates, or is equipped with a neural network.
-
E.
usesTransformation
Indicates that one entity applies or relies on a specific transformation process, method, or function to operate on or convert another entity.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.