Triple

T9892892
Position Surface form Disambiguated ID Type / Status
Subject ByteDance E181496 entity
Predicate subsidiary P258 FINISHED
Object TikTok Inc. E84583 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: TikTok Inc. | Statement: [ByteDance, subsidiary, TikTok Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TikTok Inc.
Context triple: [ByteDance, subsidiary, TikTok Inc.]
  • A. ByteDance
    ByteDance is a Chinese technology company best known as the parent company of the short-video platform TikTok and news aggregator Toutiao.
  • B. TikTok chosen
    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.
  • C. Snap Inc.
    Snap Inc. is an American technology and social media company best known for developing the multimedia messaging app Snapchat and related camera and augmented reality products.
  • D. Tencent
    Tencent is a Chinese multinational technology and entertainment conglomerate known for its dominant social media, gaming, and digital services platforms such as WeChat and QQ.
  • E. Meta Platforms, Inc.
    Meta Platforms, Inc. is a major American technology company best known as the parent of Facebook, Instagram, WhatsApp, and other social media and virtual reality products.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4814a3c8190ab1fd7f755a44508 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb0d984c81908408f90f156624e5 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:39 p.m.