Triple
T14936366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinda Blue |
E372402
|
entity |
| Predicate | targetDeviceGeneration |
P116733
|
FINISHED |
| Object | second-generation Google Pixel |
—
|
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: second-generation Google Pixel | Statement: [Kinda Blue, targetDeviceGeneration, second-generation Google Pixel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetDeviceGeneration Context triple: [Kinda Blue, targetDeviceGeneration, second-generation Google Pixel]
-
A.
targetPlatformGeneration
Indicates the generation or version of the platform that an action, resource, or entity is specifically intended to run on or be compatible with.
-
B.
targetedDevice
Indicates that one entity is the specific device toward which another entity’s action, effect, or configuration is directed.
-
C.
testedDevice
Indicates that one entity has performed a test on, or experimentally evaluated, another entity as a device.
-
D.
deviceIndicates
Indicates that a device provides a signal, status, or output that conveys information about a condition, event, or state.
-
E.
testedDeviceType
Indicates that one entity is the type or category of device on which another entity has been tested.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded647ae388190a0e97c03f2a4d832 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:37 a.m.