Triple
T5070132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snoo |
E114255
|
entity |
| Predicate | appearsOn |
P103
|
FINISHED |
| Object | Reddit mobile apps |
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 mobile apps | Statement: [Snoo, appearsOn, Reddit mobile apps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reddit mobile apps Context triple: [Snoo, appearsOn, Reddit mobile apps]
-
A.
Reddit
chosen
Reddit is a large, community-driven social media and discussion platform organized into topic-based forums called subreddits.
-
B.
Snapchat
Snapchat is a multimedia messaging and social media app known for its disappearing photos and videos, creative filters, and Stories feature popular among younger users.
-
C.
UR Browser
UR Browser is a Chromium-based web browser focused on user privacy, security, and customization features.
-
D.
Tumblr
Tumblr is a microblogging and social networking platform known for its highly customizable blogs, fandom communities, and viral multimedia content.
-
E.
Burbn
Burbn was a location-based photo-sharing startup that served as the precursor to and foundation for what became Instagram.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749f47908190891ac8432c5b5615 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea4a348e081909ccba9ce469c722c |
completed | March 21, 2026, 2:01 p.m. |
Created at: March 20, 2026, 1:39 p.m.