Triple
T11216145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theo de Raadt |
E265443
|
entity |
| Predicate | developed |
P73
|
FINISHED |
| Object | OpenSSH |
E265444
|
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: OpenSSH | Statement: [Theo de Raadt, developed, OpenSSH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OpenSSH Context triple: [Theo de Raadt, developed, OpenSSH]
-
A.
OpenSSH
chosen
OpenSSH is a widely used open-source suite of secure networking tools that provides encrypted remote login, file transfer, and tunneling capabilities, primarily via the SSH protocol.
-
B.
SSH Tectia
SSH Tectia is a commercial enterprise-grade secure shell solution providing encrypted remote access, file transfer, and tunneling for mission-critical systems.
-
C.
SSH
SSH (Secure Shell) is a cryptographic network protocol used to securely access, manage, and transfer data between remote computers over unsecured networks.
-
D.
SSH
SSH is the IATA airport code for Sharm El Sheikh International Airport, a major tourist gateway on Egypt’s Red Sea coast.
-
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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8e8eef48190932a85784ce15c86 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad1c57908190a5c65ea4738722e3 |
completed | April 19, 2026, 10:23 a.m. |
Created at: April 8, 2026, 9:30 p.m.