Triple
T198973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbenheimer phenomenon |
E4059
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object |
TikTok
TikTok is a popular short-form video social media platform known for driving viral trends, memes, and cultural phenomena worldwide.
|
E14241
|
NE FINISHED |
How this triple was built (4 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: [Barbenheimer phenomenon, platform, TikTok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TikTok Context triple: [Barbenheimer phenomenon, platform, TikTok]
-
A.
Periscope
Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
-
B.
YouTube Shorts
YouTube Shorts is YouTube’s short-form vertical video platform designed for quick, snackable content similar to TikTok and Instagram Reels.
-
C.
Vine
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.
-
D.
YouTube
YouTube is a global online video-sharing and streaming platform where users can upload, watch, and interact with a vast range of video content.
-
E.
Instagram
Instagram is a popular photo and video sharing social media platform known for its visual content, stories, and influencer culture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TikTok Triple: [Barbenheimer phenomenon, platform, TikTok]
Generated description
TikTok is a popular short-form video social media platform known for driving viral trends, memes, and cultural phenomena worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TikTok Target entity description: TikTok is a popular short-form video social media platform known for driving viral trends, memes, and cultural phenomena worldwide.
-
A.
Periscope
Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
-
B.
YouTube Shorts
chosen
YouTube Shorts is YouTube’s short-form vertical video platform designed for quick, snackable content similar to TikTok and Instagram Reels.
-
C.
Vine
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.
-
D.
YouTube
YouTube is a global online video-sharing and streaming platform where users can upload, watch, and interact with a vast range of video content.
-
E.
Instagram
Instagram is a popular photo and video sharing social media platform known for its visual content, stories, and influencer culture.
- F. None of above.
Provenance (5 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25bcb2c7c8190b0e031e93651182a |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a31c93aa348190a7555a8327f7ad99 |
completed | Feb. 28, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_69a320abcce08190867d01cd84a0a632 |
completed | Feb. 28, 2026, 5:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a321016748819090356a3369138d21 |
completed | Feb. 28, 2026, 5:08 p.m. |
Created at: Feb. 28, 2026, 2:44 a.m.