Triple
T2359131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Pill communities |
E47229
|
entity |
| Predicate | usesPlatform |
P1292
|
FINISHED |
| Object | Twitter / X |
E3345
|
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: Twitter / X | Statement: [Red Pill communities, usesPlatform, Twitter / X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twitter / X Context triple: [Red Pill communities, usesPlatform, Twitter / X]
-
A.
Twitter, Inc.
chosen
Twitter, Inc. was a major social media and microblogging company best known for its real-time short-message platform that shaped online news, politics, and public discourse worldwide.
-
B.
Weibo
Weibo is a major Chinese microblogging and social media platform widely used for news, entertainment, and public discourse.
-
C.
TweetNaCl
TweetNaCl is a compact, high-security cryptographic library designed by Daniel J. Bernstein and collaborators to provide simple, auditable implementations of modern cryptographic primitives.
-
D.
TikTok
TikTok is a popular short-form video-sharing platform known for its algorithm-driven content feed, viral trends, and user-generated music and dance videos.
-
E.
Instagram
Instagram is a popular photo and video sharing social media platform known for its visual content, stories, and influencer culture.
- 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.