Triple

T18643376
Position Surface form Disambiguated ID Type / Status
Subject Dailymotion E455742 entity
Predicate hasMobileApp P1395 FINISHED
Object Dailymotion mobile app NE NERFINISHED

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: Dailymotion mobile app | Statement: [Dailymotion, hasMobileApp, Dailymotion mobile app]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dailymotion mobile app
Context triple: [Dailymotion, hasMobileApp, Dailymotion mobile app]
  • A. Dailymotion chosen
    Dailymotion is a French video-sharing platform that allows users to upload, watch, and share videos, serving as an alternative to sites like YouTube and Vimeo.
  • 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. VK Video
    VK Video is the video hosting and streaming platform integrated into the Russian social networking service VK, offering users tools to upload, share, and watch video content.
  • D. Viddy
    Viddy was a mobile social video-sharing app that allowed users to create, edit, and share short video clips with an online community.
  • E. Mubo
    Mubo is a fictional proprietor and droid technician who runs the Droid Depot shop in the Star Wars universe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500b6d7c8190b807b772980d913c completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.