Triple
T13423151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kaseya |
E313408
|
entity |
| Predicate | sponsoredBy |
P67
|
FINISHED |
| Object | Kaseya Limited |
E313407
|
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: Kaseya Limited | Statement: [The Kaseya, sponsoredBy, Kaseya Limited]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaseya Limited Context triple: [The Kaseya, sponsoredBy, Kaseya Limited]
-
A.
Kaseya Limited
chosen
Kaseya Limited is an IT management and security software company known for providing remote monitoring, endpoint management, and cybersecurity solutions to managed service providers and enterprises.
-
B.
Comodo Group
Comodo Group is a cybersecurity company best known for its SSL certificates, internet security software, and secure web browser products.
-
C.
Webroot Inc.
Webroot Inc. is a cybersecurity company best known for its cloud-based antivirus and internet security solutions for consumers and businesses.
-
D.
Ultimate Software
Ultimate Software was a leading American provider of cloud-based human capital management and payroll software solutions for businesses.
-
E.
Deltek
Deltek is a software company specializing in enterprise resource planning and project-based solutions for government contractors and professional services firms.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaecf13748190ae40c7b95164f914 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7308493e481909da52f8bbcc0bd6b |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:39 p.m.