Triple

T17291345
Position Surface form Disambiguated ID Type / Status
Subject Musical.ly E419790 entity
Predicate acquiredBy P347 FINISHED
Object ByteDance E181496 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: ByteDance | Statement: [Musical.ly, acquiredBy, ByteDance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ByteDance
Context triple: [Musical.ly, acquiredBy, ByteDance]
  • A. ByteDance chosen
    ByteDance is a Chinese technology company best known as the parent company of the short-video platform TikTok and news aggregator Toutiao.
  • B. 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.
  • C. 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.
  • 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. Douyin
    Douyin is the Chinese short-video social media platform owned by ByteDance, offering similar features to TikTok but operating separately within China's internet ecosystem.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437837d048190949b947f5437636d completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195488d2c81908ac6c19f54f61796 completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:40 a.m.