Triple
T7482249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Oberheide |
E176788
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Duo Security |
E33853
|
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: Duo Security | Statement: [Jon Oberheide, coFounded, Duo Security]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duo Security Context triple: [Jon Oberheide, coFounded, Duo Security]
-
A.
Duo Security
chosen
Duo Security is a cybersecurity company best known for its cloud-based multi-factor authentication and zero-trust access solutions.
-
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.
Comodo Group
Comodo Group is a cybersecurity company best known for its SSL certificates, internet security software, and secure web browser products.
-
D.
Trend Micro
Trend Micro is a global cybersecurity company known for its antivirus, cloud security, and enterprise threat protection solutions.
-
E.
McAfee
McAfee is a global cybersecurity company best known for its antivirus and digital security software for consumers and businesses.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5374bb08190bdf6ca72a3d0cd1c |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c845fd62dc8190a64f5464a204c0d2 |
completed | March 28, 2026, 9:19 p.m. |
Created at: March 27, 2026, 3:42 p.m.