Triple
T3430133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genesys |
E72316
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Genesys Engage |
E72316
|
NE 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: Genesys Engage | Statement: [Genesys, product, Genesys Engage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genesys Engage Context triple: [Genesys, product, Genesys Engage]
-
A.
Genesys
chosen
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.
-
B.
Amazon Connect
Amazon Connect is a cloud-based contact center service that enables businesses to set up and manage scalable customer support and call center operations using Amazon Web Services infrastructure.
-
C.
Twilio
Twilio is a cloud communications platform company that enables developers and businesses to integrate voice, messaging, video, and authentication capabilities into their applications via APIs.
-
D.
Opsware
Opsware was a data center automation and IT infrastructure management software company, best known for being co-founded by Marc Andreessen and later acquired by Hewlett-Packard.
-
E.
Avaya
Avaya is an American multinational technology company specializing in business communications, unified communications, and contact center solutions for enterprises and organizations worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9bd61908190a7bdd01f24334fc3 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360c789b48190807bddf1a3bf8d2e |
completed | March 13, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:15 p.m.