Triple
T5070131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snoo |
E114255
|
entity |
| Predicate | appearsOn |
P103
|
FINISHED |
| Object | reddit.com |
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.com | Statement: [Snoo, appearsOn, reddit.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: reddit.com Context triple: [Snoo, appearsOn, reddit.com]
-
A.
Reddit
chosen
Reddit is a large, community-driven social media and discussion platform organized into topic-based forums called subreddits.
-
B.
8chan
8chan is an imageboard website known for its minimal moderation, anonymous posting, and association with extremist and fringe online communities.
-
C.
4chan
4chan is an anonymous English-language imageboard website known for its influential, chaotic online culture and role in originating numerous internet memes and subcultures.
-
D.
r/funny
r/funny is one of Reddit’s largest and most popular communities dedicated to sharing humorous content, including jokes, memes, and funny images or videos.
-
E.
Ren
Ren is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her experiences as a sex worker and survivor in a bioengineered, post-apocalyptic world.
- 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.