Triple
T805725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vine |
E17427
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | TikTok |
E84583
|
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: TikTok | Statement: [Vine, influenced, TikTok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TikTok Context triple: [Vine, influenced, TikTok]
-
A.
TikTok
chosen
TikTok is a popular short-form video-sharing platform known for its algorithm-driven content feed, viral trends, and user-generated music and dance videos.
-
B.
Instagram Reels
Instagram Reels is a short-form video feature within Instagram that lets users create, edit, and share brief, often music-backed clips for discovery and entertainment.
-
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.
YouTube Shorts
YouTube Shorts is YouTube’s short-form vertical video platform designed for quick, snackable content similar to TikTok and Instagram Reels.
-
E.
IGTV (discontinued as standalone brand)
IGTV was Instagram’s long-form vertical video platform designed for creators to share extended, mobile-first video content beyond the standard feed and Stories.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aabff3d88190bec4299fa0d87df0 |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a68927ba948190999fd1459dd62cca |
completed | March 3, 2026, 7:09 a.m. |
Created at: March 1, 2026, 7:38 p.m.