Triple
T9209563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacBook Pro (14-inch, 2021) |
E221076
|
entity |
| Predicate | hasWebcam |
P18614
|
FINISHED |
| Object | 1080p FaceTime HD camera |
—
|
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 FaceTime HD camera | Statement: [MacBook Pro (14-inch, 2021), hasWebcam, 1080p FaceTime HD camera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWebcam Context triple: [MacBook Pro (14-inch, 2021), hasWebcam, 1080p FaceTime HD camera]
-
A.
hasCamera
chosen
Indicates that an entity is equipped with or possesses a camera.
-
B.
hasVideoRecordingAvailableOn
Indicates that a video recording of something is accessible or hosted on a specified platform, service, or medium.
-
C.
hasDedicatedCameraButton
Indicates that an object or device includes a specific physical button intended solely for activating or controlling the camera function.
-
D.
hasOuterSelfieCamera
Indicates that an entity (typically a device) is equipped with a front-facing camera intended for taking selfies.
-
E.
hasWideCamera
Indicates that an entity is equipped with or features a wide-angle camera.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b3c8c081909a688ce699928fc0 |
completed | April 1, 2026, 8:39 a.m. |
| PD | Predicate disambiguation | batch_69cc660af2408190ae06eb8326e1c64e |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:26 p.m.