Triple
T21568406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nina virtual assistant |
E532218
|
entity |
| Predicate | providedBy |
P67
|
FINISHED |
| Object | Nuance Communications customer engagement portfolio |
—
|
NE NERFINISHED |
How this triple was built (3 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: Nuance Communications customer engagement portfolio | Statement: [Nina virtual assistant, providedBy, Nuance Communications customer engagement portfolio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuance Communications customer engagement portfolio Context triple: [Nina virtual assistant, providedBy, Nuance Communications customer engagement portfolio]
-
A.
Tellme Networks
Tellme Networks was a voice-recognition and interactive voice response (IVR) technology company best known for providing speech-enabled telephone services and platforms, later acquired by Microsoft.
-
B.
Versoix
Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
-
C.
overseeing acquisition of Nuance Communications
Nuance Communications is a technology company specializing in speech recognition and conversational AI solutions widely used in healthcare, customer service, and enterprise applications.
-
D.
OCI Speech
OCI Speech is an Oracle Cloud Infrastructure service that provides automatic speech recognition to convert spoken language in audio files into accurate, searchable text.
-
E.
Genesys
Genesys is a global customer experience and contact center technology company known for its cloud-based solutions that help businesses manage and optimize customer interactions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nuance Communications customer engagement portfolio Target entity description: Nuance Communications customer engagement portfolio is a suite of AI-powered solutions for automating and enhancing customer interactions across voice, digital, and self-service channels.
-
A.
Tellme Networks
Tellme Networks was a voice-recognition and interactive voice response (IVR) technology company best known for providing speech-enabled telephone services and platforms, later acquired by Microsoft.
-
B.
Versoix
Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
-
C.
overseeing acquisition of Nuance Communications
Nuance Communications is a technology company specializing in speech recognition and conversational AI solutions widely used in healthcare, customer service, and enterprise applications.
-
D.
OCI Speech
OCI Speech is an Oracle Cloud Infrastructure service that provides automatic speech recognition to convert spoken language in audio files into accurate, searchable text.
-
E.
Genesys
Genesys is a global customer experience and contact center technology company known for its cloud-based solutions that help businesses manage and optimize customer interactions.
- F. None of above. chosen
Provenance (2 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cad95c8190ab165ced6f242302 |
completed | April 27, 2026, 4:44 a.m. |
Created at: April 16, 2026, 6:30 p.m.