Triple
T22572947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advance |
E544320
|
entity |
| Predicate | hasStakeIn |
P101639
|
FINISHED |
| Object |
—
|
NE NERFINISHED |
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: [Advance, hasStakeIn, Reddit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reddit Context triple: [Advance, hasStakeIn, Reddit]
-
A.
Reddit
chosen
Reddit is a large, community-driven social media and discussion platform organized into topic-based forums called subreddits.
-
B.
Parler
Parler is a social media platform known for its emphasis on minimal content moderation and popularity among right-wing and conservative users.
-
C.
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.
-
D.
Quora
Quora is a popular question-and-answer platform where users ask questions, provide expert or experience-based answers, and collaboratively curate knowledge on a wide range of topics.
-
E.
Tumblr
Tumblr is a microblogging and social networking platform known for its highly customizable blogs, fandom communities, and viral multimedia content.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fe958e881909b58a5439f2c6a35 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.