Triple

T575549
Position Surface form Disambiguated ID Type / Status
Subject YouTube Stories E13753 entity
Predicate replacedBy P101 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: [YouTube Stories, replacedBy, YouTube Shorts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YouTube Shorts
Context triple: [YouTube Stories, replacedBy, 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. 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.
  • 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. 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b67395c8190a8046ff7debe9d1f completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5089de648819097efdaa016aa33d2 completed March 2, 2026, 3:48 a.m.
Created at: March 1, 2026, 7:33 p.m.