Triple
T10924779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MGTOW |
E258036
|
entity |
| Predicate | associatedWithPlatform |
P38443
|
FINISHED |
| Object |
E25543
|
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: Reddit | Statement: [MGTOW, associatedWithPlatform, Reddit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reddit Context triple: [MGTOW, associatedWithPlatform, Reddit]
-
A.
Reddit
chosen
Reddit is a large, community-driven social media and discussion platform organized into topic-based forums called subreddits.
-
B.
Reddit Premium
Reddit Premium is a paid subscription service on Reddit that offers an ad-free experience, monthly Reddit Coins, and access to exclusive features and communities.
-
C.
Tumblr
Tumblr is a microblogging and social networking platform known for its highly customizable blogs, fandom communities, and viral multimedia content.
-
D.
Facebook
Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
-
E.
FARK
FARK is the acronym for the Royal Cambodian Armed Forces, the national military organization responsible for Cambodia’s defense and security.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7708f7ab48190b60a4bb8fdb17c8e |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e217369b648190914c58db6f6e0200 |
completed | April 17, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:22 p.m.