Triple
T16627882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess Eloise of Oranje-Nassau |
E403997
|
entity |
| Predicate | platform |
P1292
|
FINISHED |
| Object | TikTok |
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 | Statement: [Countess Eloise of Oranje-Nassau, platform, TikTok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TikTok Context triple: [Countess Eloise of Oranje-Nassau, platform, TikTok]
-
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.
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.
-
C.
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.
-
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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e2683481908c9a5ed895a09a6e |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dba91bc819090a78ac4c0c01fc8 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.