Triple

T10715606
Position Surface form Disambiguated ID Type / Status
Subject Kesha E252658 entity
Predicate notableSong P4 FINISHED
Object Tik Tok 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: Tik Tok | Statement: [Kesha, notableSong, Tik Tok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tik Tok
Context triple: [Kesha, notableSong, Tik Tok]
  • A. 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.
  • B. Musical.ly
    Musical.ly was a popular short-form video and lip-syncing social media app that served as a major precursor to and was eventually integrated into TikTok.
  • C. 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.
  • D. ByteDance
    ByteDance is a Chinese technology company best known as the parent company of the short-video platform TikTok and news aggregator Toutiao.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3320448190899c56b02a7f5ffa completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb70f67c88190980f362fcea9d800 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:13 p.m.