Triple
T5096265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rus Yusupov |
E114872
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Vine mobile app |
E17427
|
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: Vine mobile app | Statement: [Rus Yusupov, notableWork, Vine mobile app]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vine mobile app Context triple: [Rus Yusupov, notableWork, Vine mobile app]
-
A.
Vine
chosen
Vine was a short-form video hosting service and social media platform known for its looping six-second clips and significant cultural impact in the early 2010s.
-
B.
The Vine
The Vine is a public transit service brand used by C-TRAN for its bus and related transportation services in the Vancouver, Washington area.
-
C.
Periscope
Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
-
D.
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.
-
E.
Google Duo
Google Duo is a high-quality video and voice calling app developed by Google for simple, reliable one-to-one and group communication across mobile and web platforms.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75652a8081908386718f1fdb1de3 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba80aee081908498cbe9d4f2eaa7 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:40 p.m.