Triple
T15667718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hi Bixby |
E377225
|
entity |
| Predicate | wakeWordFor |
P28701
|
FINISHED |
| Object | Samsung Galaxy devices with Bixby |
—
|
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: Samsung Galaxy devices with Bixby | Statement: [Hi Bixby, wakeWordFor, Samsung Galaxy devices with Bixby]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wakeWordFor Context triple: [Hi Bixby, wakeWordFor, Samsung Galaxy devices with Bixby]
-
A.
wakeWord
chosen
Indicates that one entity serves as the activation phrase or trigger word used to wake up or activate another entity (such as a device or system).
-
B.
usesVoiceAssistant
Indicates that an entity regularly operates or interacts with a voice-controlled digital assistant.
-
C.
awakensIn
Indicates that one entity comes out of sleep or becomes conscious while located within or inside another entity.
-
D.
voiceWork
Indicates that one entity performs or contributes voice acting or vocal performance work for another entity or creative production.
-
E.
recognizableFor
Indicates that one entity is known or identifiable because of a particular characteristic, feature, or association with another entity.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f1151548190a14607e762686cb1 |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.