Triple
T805706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vine |
E17427
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Vine Camera |
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 Camera | Statement: [Vine, successor, Vine Camera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vine Camera Context triple: [Vine, successor, Vine Camera]
-
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.
Snap Camera
Snap Camera is a desktop application by Snap Inc. that lets users apply Snapchat-style augmented reality lenses and filters to their webcam video for use in video calls and streaming.
-
E.
CacheCam
CacheCam is a specialized camera on NASA's Perseverance rover designed to document and inspect rock and soil samples destined for potential return to Earth.
- 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_69a68926c04081908923a7d114d1842d |
completed | March 3, 2026, 7:09 a.m. |
Created at: March 1, 2026, 7:38 p.m.