Triple
T34776612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Galaxy Note9 |
E1002524
|
entity |
| Predicate | hasFaceRecognition |
P20533
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Samsung Galaxy Note9, hasFaceRecognition, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFaceRecognition Context triple: [Samsung Galaxy Note9, hasFaceRecognition, yes]
-
A.
hasFaceUnlock
chosen
Indicates that an entity supports or is equipped with a facial recognition–based unlocking feature.
-
B.
hasFaceDetectionAF
Indicates that an entity supports or uses autofocus functionality based on detecting human faces in the frame.
-
C.
hasFacialProfile
Indicates that an entity possesses a specific facial profile or configuration of facial features.
-
D.
hasFaceLocation
Indicates that an entity has a specified position or region corresponding to a face within some spatial or visual context.
-
E.
hasFace
Indicates that one entity possesses, displays, or is characterized by a face.
- 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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: May 3, 2026, 3:59 p.m.