Triple
T6034469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cortana |
E134382
|
entity |
| Predicate | voiceActivationPhrase |
P28701
|
FINISHED |
| Object | Hey Cortana |
—
|
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: Hey Cortana | Statement: [Cortana, voiceActivationPhrase, Hey Cortana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceActivationPhrase Context triple: [Cortana, voiceActivationPhrase, Hey Cortana]
-
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.
hasVoiceSystem
Indicates that one entity possesses or is equipped with a particular voice-based system or voice technology.
-
D.
speakerConfiguration
Indicates how speakers are arranged or assigned within an audio or communication setup.
-
E.
voiceWork
Indicates that one entity performs or contributes voice acting or vocal performance work for another entity or creative production.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056b33a7c8190ad6282286199b192 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049e9a68c81909da0cfe4779ce9b5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.