Triple

T18642437
Position Surface form Disambiguated ID Type / Status
Subject Simone vs Herself E455722 entity
Predicate originalNetwork P2594 FINISHED
Object Facebook Watch 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: Facebook Watch | Statement: [Simone vs Herself, originalNetwork, Facebook Watch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Facebook Watch
Context triple: [Simone vs Herself, originalNetwork, Facebook Watch]
  • A. Facebook Watch chosen
    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. Periscope
    Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
  • C. Pluto TV
    Pluto TV is a free, ad-supported internet television streaming service offering live channels and on-demand content across a wide range of genres.
  • 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. TikTok
    TikTok is a popular short-form video-sharing platform known for its algorithm-driven content feed, viral trends, and user-generated music and dance videos.
  • 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_69e54fcd6da081908030b052727f2c2f completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:47 a.m.