Triple

T4600109
Position Surface form Disambiguated ID Type / Status
Subject OpenBSD E100302 entity
Predicate originalAuthor P2806 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, originalAuthor, Theo de Raadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theo de Raadt
Context triple: [OpenBSD, originalAuthor, 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_69bdfa5a7aac8190b540b80816d55051 completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:11 p.m.