Triple
T15989436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Banister |
E387784
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | IronPort |
E1187500
|
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: IronPort | Statement: [Scott Banister, employer, IronPort]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IronPort Context triple: [Scott Banister, employer, IronPort]
-
A.
IronPort
chosen
IronPort is an email and web security company best known for its high-performance anti-spam and anti-malware gateway appliances, later acquired by Cisco Systems.
-
B.
Barracuda Networks
Barracuda Networks is a cybersecurity and data protection company known for providing email security, network security, and backup solutions for businesses.
-
C.
Sophos
Sophos is a British cybersecurity company known for providing antivirus, endpoint protection, and network security solutions to businesses and organizations worldwide.
-
D.
Blue Coat Systems
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.
-
E.
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.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157829ec08190aa4a683e29a0148a |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbc8a8a081908ac1b431f524d650 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:54 a.m.