Triple
T12207560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StyleGAN |
E290872
|
entity |
| Predicate | controlsFeaturesAt |
P103792
|
FINISHED |
| Object | different layers of the network |
—
|
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: different layers of the network | Statement: [StyleGAN, controlsFeaturesAt, different layers of the network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlsFeaturesAt Context triple: [StyleGAN, controlsFeaturesAt, different layers of the network]
-
A.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
B.
capabilityType
Indicates the type or category of capability that an entity possesses or is associated with.
-
C.
accessFeature
Indicates that one entity is permitted to use or interact with a specific feature or capability of another entity.
-
D.
canBeControlledFrom
Indicates that one entity has the ability or authority to operate, direct, or manage another entity remotely or indirectly.
-
E.
equipmentCharacteristic
Indicates that a specific characteristic, property, or attribute is associated with a piece of equipment.
- 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_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. |
| PDg | Predicate description generation | batch_69d920c3dc9881908c396a4ab34f4836 |
completed | April 10, 2026, 4:09 p.m. |
Created at: April 8, 2026, 9:51 p.m.