Triple
T12325521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thoma Bravo |
E293819
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object | Blue Coat Systems |
E831099
|
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: Blue Coat Systems | Statement: [Thoma Bravo, acquired, Blue Coat Systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Coat Systems Context triple: [Thoma Bravo, acquired, Blue Coat Systems]
-
A.
Blue Coat Systems
chosen
Blue Coat Systems was a cybersecurity company best known for its web security and WAN optimization solutions, later integrated into Symantec’s enterprise security portfolio after its acquisition.
-
B.
Palo Alto Networks
Palo Alto Networks is a leading global cybersecurity company known for its next-generation firewalls, cloud security solutions, and threat intelligence services.
-
C.
Sophos
Sophos is a British cybersecurity company known for providing antivirus, endpoint protection, and network security solutions to businesses and organizations worldwide.
-
D.
Comodo Group
Comodo Group is a cybersecurity company best known for its SSL certificates, internet security software, and secure web browser products.
-
E.
Trend Micro
Trend Micro is a global cybersecurity company known for its antivirus, cloud security, and enterprise threat protection solutions.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4e7e588190b37e2413bc649198 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8d27288190bdf32acd600141db |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.