Triple
T4600120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenBSD |
E100302
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Theo de Raadt |
E52337
|
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: Theo de Raadt | Statement: [OpenBSD, founder, Theo de Raadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theo de Raadt Context triple: [OpenBSD, founder, Theo de Raadt]
-
A.
Theo de Raadt
chosen
Theo de Raadt is a Canadian software engineer best known as the founder and leader of the OpenBSD and OpenSSH projects, and as a prominent advocate for free and secure software.
-
B.
Patrik Frisk
Patrik Frisk is a business executive best known for serving as the CEO of sportswear company Under Armour.
-
C.
Patrick Volkerding
Patrick Volkerding is an American software engineer best known as the founder and long-time maintainer of the Slackware Linux distribution, one of the oldest surviving Linux distros.
-
D.
Steve Wiener
Steve Wiener is a cinema industry executive best known as the founder of Cineworld Group, one of the largest cinema chains in the United Kingdom.
-
E.
Wietse Venema
Wietse Venema is a Dutch software engineer and security researcher best known for creating the Postfix mail transfer agent and other influential open-source security tools.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5971f448819090f6e76c7d3ffc2d |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0349e89c8190a94e72bdc1e4e59f |
completed | March 21, 2026, 2:32 a.m. |
Created at: March 20, 2026, 1:11 p.m.