Triple
T3345409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Leno’s Garage |
E70360
|
entity |
| Predicate | distributionPlatform |
P1486
|
FINISHED |
| Object | YouTube |
E2481
|
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: YouTube | Statement: [Jay Leno’s Garage, distributionPlatform, YouTube]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YouTube Context triple: [Jay Leno’s Garage, distributionPlatform, YouTube]
-
A.
YouTube
chosen
YouTube is a global online video-sharing and streaming platform where users can upload, watch, and interact with a vast range of video content.
-
B.
Vdio
Vdio was an online video-on-demand and streaming service launched by Skype and Rdio co-founder Janus Friis as an attempt to compete with platforms like Netflix.
-
C.
.yt
.yt is the country code top-level domain (ccTLD) assigned to Mayotte, an overseas department and region of France.
-
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.
YouTube Theater
YouTube Theater is a modern, mid-sized indoor entertainment venue and performance space located in Inglewood, California, often used for concerts, award shows, and live events.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f36c74819093ef2c74a46c2351 |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32522cbc88190b965087a580d7acf |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:12 p.m.