Triple
T9892907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ByteDance |
E181496
|
entity |
| Predicate | coFounder |
P2835
|
FINISHED |
| Object | Liang Rubo |
E828489
|
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: Liang Rubo | Statement: [ByteDance, coFounder, Liang Rubo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liang Rubo Context triple: [ByteDance, coFounder, Liang Rubo]
-
A.
Liang Rubo
chosen
Liang Rubo is a Chinese entrepreneur best known as a co-founder and current CEO of ByteDance, the tech company behind TikTok and Douyin.
-
B.
Liang Wengen
Liang Wengen is a Chinese billionaire entrepreneur best known as the founder and chairman of Sany Group, one of the world’s leading heavy machinery manufacturers.
-
C.
Liu Bin
Liu Bin is a Chinese woman known primarily as the wife of Mao Xinyu, the grandson of Mao Zedong.
-
D.
Li Rusong
Li Rusong was a Ming dynasty general renowned for leading Chinese forces to aid Korea against Toyotomi Hideyoshi’s invasions in the late 16th century.
-
E.
Liu Dong
Liu Dong is a Chinese middle-distance runner best known for winning the women's 1500 metres world title in 1993 as part of coach Ma Junren's famed "Ma's Army."
- 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.