Triple
T35545416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huawei Nova 9 SE |
E1027196
|
entity |
| Predicate | selfieCameraVideo |
P183399
|
FINISHED |
| Object | 1080p@30fps |
—
|
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: 1080p@30fps | Statement: [Huawei Nova 9 SE, selfieCameraVideo, 1080p@30fps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selfieCameraVideo Context triple: [Huawei Nova 9 SE, selfieCameraVideo, 1080p@30fps]
-
A.
hasVideoRecording
Indicates that there exists an associated video recording capturing or documenting the referenced entity or event.
-
B.
selfieScreen
Indicates that an entity is a screen or interface used by a person to take or view a selfie.
-
C.
hasVideoRecordingAvailableOn
Indicates that a video recording of something is accessible or hosted on a specified platform, service, or medium.
-
D.
hasInnerSelfieCamera
Indicates that an object (typically a device) is equipped with a front-facing or inward-facing selfie camera.
-
E.
videoIn
Indicates that one entity is a video that is contained within, embedded in, or associated as input to another entity.
- 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f7340e4819092a1a47f7028e63f |
completed | May 3, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79ec14ce08190b22cee0b40d33743 |
completed | May 3, 2026, 7:15 p.m. |
Created at: May 3, 2026, 4:04 p.m.