Triple
T4832556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Mullenweg |
E107976
|
entity |
| Predicate | notableProject |
P4
|
FINISHED |
| Object | BuddyPress |
E472860
|
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: BuddyPress | Statement: [Matt Mullenweg, notableProject, BuddyPress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BuddyPress Context triple: [Matt Mullenweg, notableProject, BuddyPress]
-
A.
BuddyPress
chosen
BuddyPress is an open-source plugin for WordPress that adds social networking features like user profiles, activity streams, groups, and private messaging to WordPress sites.
-
B.
bbPress
bbPress is an open-source forum software built as a lightweight, plugin-based extension to WordPress for creating discussion boards and community forums.
-
C.
WordPress Foundation
The WordPress Foundation is a nonprofit organization that supports and protects the open-source WordPress project and its community.
-
D.
Ning
Ning is an online platform that enables users and organizations to create their own custom social networks and communities.
-
E.
WordPress
WordPress is a widely used open-source content management system that enables users to create, manage, and publish websites and blogs through a user-friendly, web-based interface.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cc924e08190b03a7541c629aff9 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cbbc8a08190b01e4ca717260a20 |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:24 p.m.