Triple
T18204340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XLNet |
E435866
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object |
Yiming Yang
Yiming Yang is a prominent computer scientist and machine learning researcher known for influential work in natural language processing and text mining.
|
E1319119
|
NE FINISHED |
How this triple was built (4 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: Yiming Yang | Statement: [XLNet, hasAuthor, Yiming Yang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yiming Yang Context triple: [XLNet, hasAuthor, Yiming Yang]
-
A.
Zhilin Yang
Zhilin Yang is a computer scientist and AI researcher known for his work on large-scale language models and as a lead author of the XLNet architecture.
-
B.
Fenggang Yang
Fenggang Yang is a prominent Chinese-American sociologist known for his influential research on religion and religious change in contemporary China.
-
C.
Luyu Yang
Luyu Yang is an entrepreneur best known as a co-founder of the short-form video platform Musical.ly, which later merged into TikTok.
-
D.
Tingye Li
Tingye Li was a pioneering Chinese-American optical engineer and physicist renowned for his foundational contributions to laser and fiber-optic communications.
-
E.
Yuhuai Wu
Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yiming Yang Triple: [XLNet, hasAuthor, Yiming Yang]
Generated description
Yiming Yang is a prominent computer scientist and machine learning researcher known for influential work in natural language processing and text mining.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yiming Yang Target entity description: Yiming Yang is a prominent computer scientist and machine learning researcher known for influential work in natural language processing and text mining.
-
A.
Zhilin Yang
Zhilin Yang is a computer scientist and AI researcher known for his work on large-scale language models and as a lead author of the XLNet architecture.
-
B.
Fenggang Yang
Fenggang Yang is a prominent Chinese-American sociologist known for his influential research on religion and religious change in contemporary China.
-
C.
Luyu Yang
Luyu Yang is an entrepreneur best known as a co-founder of the short-form video platform Musical.ly, which later merged into TikTok.
-
D.
Tingye Li
Tingye Li was a pioneering Chinese-American optical engineer and physicist renowned for his foundational contributions to laser and fiber-optic communications.
-
E.
Yuhuai Wu
Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
- F. None of above. chosen
Provenance (5 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e222831081908f7d5500424e3acb |
completed | April 19, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03cc115e4c8190987815da96d56c8a |
completed | May 13, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_6a03cc9835348190b1fb456afc59250f |
completed | May 13, 2026, 12:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03ccf0dc148190bfe6f1f9877750c0 |
completed | May 13, 2026, 12:59 a.m. |
Created at: April 10, 2026, 10:32 a.m.