Triple
T9892885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ByteDance |
E181496
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Douyin |
E419789
|
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: Douyin | Statement: [ByteDance, product, Douyin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douyin Context triple: [ByteDance, product, Douyin]
-
A.
Douyin
chosen
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.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Tudou
Tudou is a Chinese online video-sharing platform, similar to YouTube, that became part of the Youku Tudou group after a major merger in China’s streaming industry.
- 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_69d20d888b408190a68ff55d63558478 |
completed | April 5, 2026, 7:21 a.m. |
Created at: March 30, 2026, 8:39 p.m.