Triple
T287068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatu Ylönen |
E5906
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | SSH protocol |
E1267
|
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: SSH protocol | Statement: [Tatu Ylönen, knownFor, SSH protocol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SSH protocol Context triple: [Tatu Ylönen, knownFor, SSH protocol]
-
A.
SSH
chosen
SSH (Secure Shell) is a cryptographic network protocol used to securely access, manage, and transfer data between remote computers over unsecured networks.
-
B.
SSH Communications Security
SSH Communications Security is a Finnish cybersecurity company best known for developing and commercializing the Secure Shell (SSH) protocol and related secure communications solutions.
-
C.
PuTTY
PuTTY is a widely used free and open-source terminal emulator and network client for Windows and other platforms, supporting protocols like SSH, Telnet, and serial connections.
-
D.
Telnet
Telnet is a network protocol and command-line tool that allows users to remotely access and manage devices over a text-based terminal connection.
-
E.
Dropbear SSH
Dropbear SSH is a lightweight, open-source SSH server and client implementation designed for embedded systems and resource-constrained environments.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e2ddaa88190b08c40b5823f30a0 |
completed | Feb. 28, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3a5d16298819094d742e34ec86f97 |
completed | March 1, 2026, 2:34 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.