Triple
T2359130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Pill communities |
E47229
|
entity |
| Predicate | usesPlatform |
P1292
|
FINISHED |
| Object | Discord |
E165119
|
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: Discord | Statement: [Red Pill communities, usesPlatform, Discord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Discord Context triple: [Red Pill communities, usesPlatform, Discord]
-
A.
Discord
chosen
Discord is a popular communication platform that provides text, voice, and video chat for online communities, gamers, and groups.
-
B.
Slack
Slack is a cloud-based team collaboration and messaging platform widely used for real-time communication, file sharing, and integrations with tools like Google Workspace.
-
C.
IRC
IRC (Internet Relay Chat) is a long-standing, text-based communication protocol that enables real-time group and private messaging over the internet via channels and servers.
-
D.
IRC
IRC is the commonly used abbreviation for the Internal Revenue Code, the comprehensive body of federal tax laws in the United States.
-
E.
Chatterbug
Chatterbug is an online language-learning platform that offers live tutoring and interactive exercises to help users practice and improve foreign language skills.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc720b9048190a5d3b19e5e1f373a |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9638ef948190adf945aba42fac76 |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:55 p.m.