Triple
T14335913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darshan Upadhyaya |
E355465
|
entity |
| Predicate | team |
P3756
|
FINISHED |
| Object | Cloud9 Academy |
E355469
|
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: Cloud9 Academy | Statement: [Darshan Upadhyaya, team, Cloud9 Academy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloud9 Academy Context triple: [Darshan Upadhyaya, team, Cloud9 Academy]
-
A.
Cloud9
chosen
Cloud9 is a prominent North American esports organization best known for its success across games like League of Legends, Counter-Strike, and Valorant.
-
B.
LaunchCode
LaunchCode is a nonprofit organization that provides free coding education and job placement programs to help people start careers in technology.
-
C.
Cloud Campus
Cloud Campus is Deakin University’s fully online campus, providing digital access to courses and student services for remote and flexible study.
-
D.
School in the Cloud
School in the Cloud is an educational initiative and online platform created by Sugata Mitra that explores self-organized learning by enabling children to learn collaboratively with minimal teacher intervention.
-
E.
Udemy
Udemy is a global online learning platform that hosts a vast marketplace of video-based courses across diverse subjects for learners and professionals.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c20d2148190bb534bef338e871d |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46986758819088750150ad47bae1 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.