Triple

T12183875
Position Surface form Disambiguated ID Type / Status
Subject It's Okay to Be Smart E290283 entity
Predicate availableOn P1278 FINISHED
Object YouTube mobile app 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 mobile app | Statement: [It's Okay to Be Smart, availableOn, YouTube mobile app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YouTube mobile app
Context triple: [It's Okay to Be Smart, availableOn, YouTube mobile app]
  • A. Facebook Watch
    Facebook Watch is Meta Platforms' video-on-demand and streaming platform for hosting, discovering, and monetizing a wide range of video content on Facebook.
  • B. 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.
  • C. Vy mobile app
    Vy mobile app is a mobile application that allows users to plan journeys and purchase tickets for Vy’s regional train services in Norway.
  • D. 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.
  • E. Xigua Video
    Xigua Video is a Chinese online video-sharing and streaming platform owned by ByteDance, offering a mix of user-generated and professionally produced content.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915ffe644819085f4eb64802fe349 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6aecb0881909084f3ff2a9e52ea completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.