Triple

T4439962
Position Surface form Disambiguated ID Type / Status
Subject Byte E95745 entity
Predicate competesWith P1375 FINISHED
Object YouTube Shorts E14241 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 Shorts | Statement: [Byte, competesWith, YouTube Shorts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YouTube Shorts
Context triple: [Byte, competesWith, YouTube Shorts]
  • A. YouTube Shorts chosen
    YouTube Shorts is YouTube’s short-form vertical video platform designed for quick, snackable content similar to TikTok and Instagram Reels.
  • B. YouTube Stories
    YouTube Stories was a short-form, ephemeral video format on YouTube that allowed creators to share temporary, mobile-first content similar to Instagram and Snapchat stories.
  • C. 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.
  • D. Digital Short
    Digital Short is a series of pre-recorded comedic video segments that became a signature part of Saturday Night Live, often featuring experimental sketches, music videos, and celebrity cameos.
  • E. Pop Up Video
    Pop Up Video is a VH1 television series that presents music videos annotated with humorous on-screen "pop-up" facts and trivia about the artists, production, and cultural context.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ac05e081908411089c05fc36bd completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6137b97748190b8ebecaf590baad3 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:31 p.m.