Triple
T12900865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lars Magne Ingebrigtsen |
E308605
|
entity |
| Predicate | softwareProject |
P25429
|
FINISHED |
| Object | Gmane mailing list archive |
E1010446
|
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 mailing list archive | Statement: [Lars Magne Ingebrigtsen, softwareProject, Gmane mailing list archive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gmane mailing list archive Context triple: [Lars Magne Ingebrigtsen, softwareProject, Gmane mailing list archive]
-
A.
Gmane
chosen
Gmane is an online service that archives and provides searchable, web- and NNTP-based access to mailing list discussions.
-
B.
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.
-
C.
Mailman
Mailman is a widely used open-source mailing list management software that automates the administration and distribution of email discussion lists.
-
D.
Usenet
Usenet is a worldwide distributed discussion system that predates the modern web, where users post and read messages in topic-based newsgroups.
-
E.
Gnus
Gnus is a flexible and extensible message reader for news and email, tightly integrated with the Emacs text editor.
- 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_69f6c0e7e9fc8190ad065a587c6c45dd |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:40 p.m.