Triple
T261186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cisco Systems |
E5543
|
entity |
| Predicate | hasBrand |
P1500
|
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: [Cisco Systems, hasBrand, Duo Security]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duo Security Context triple: [Cisco Systems, hasBrand, 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.
Xoom Corporation
Xoom Corporation is a digital money transfer service that enables individuals to send funds, pay bills, and reload mobile phones internationally, and operates as a subsidiary of PayPal.
-
C.
AppDynamics
AppDynamics is an application performance monitoring and observability company that provides tools to track, analyze, and optimize the performance of software applications and IT infrastructure.
-
D.
OpenDNS
OpenDNS is a cloud-delivered DNS and security service provider known for web filtering, phishing protection, and enterprise network security solutions.
-
E.
Tymshare
Tymshare was an influential American time-sharing and computer services company active in the 1960s–1980s that helped pioneer remote computing and software services for 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d7428dc8190ae12b12a21fcc6cb |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a386170dac81909a5ebf631f6037ab |
completed | March 1, 2026, 12:19 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.