Triple

T12900855
Position Surface form Disambiguated ID Type / Status
Subject Lars Magne Ingebrigtsen E308605 entity
Predicate notableWork P4 FINISHED
Object Gmane E59588 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: Gmane | Statement: [Lars Magne Ingebrigtsen, notableWork, Gmane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gmane
Context triple: [Lars Magne Ingebrigtsen, notableWork, Gmane]
  • A. Gnus chosen
    Gnus is a flexible and extensible message reader for news and email, tightly integrated with the Emacs text editor.
  • B. Usenet
    Usenet is a worldwide distributed discussion system that predates the modern web, where users post and read messages in topic-based newsgroups.
  • C. Gamilroi
    Gamilroi is an alternative name for the Gamilaraay language, an Indigenous Australian language traditionally spoken by the Gamilaraay people of New South Wales and southern Queensland.
  • D. Mailman
    Mailman is a widely used open-source mailing list management software that automates the administration and distribution of email discussion lists.
  • E. GNU Mailman
    GNU Mailman is a widely used open-source mailing list management software that automates the administration and distribution of email discussion and announcement lists.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97180ee708190b60a3e58c42f764f completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56189b081909ed838addcb6d265 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.