Triple
T18204339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XLNet |
E435866
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object |
Zihang Dai
Zihang Dai is a computer scientist and AI researcher known for his contributions to natural language processing, including co-developing the XLNet language model.
|
E1312416
|
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: Zihang Dai | Statement: [XLNet, hasAuthor, Zihang Dai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zihang Dai Context triple: [XLNet, hasAuthor, Zihang Dai]
-
A.
Haochen Zhang
Haochen Zhang is a Chinese concert pianist acclaimed for winning the gold medal at the 2009 Van Cliburn International Piano Competition and for his virtuosic performances worldwide.
-
B.
Xiangyu Zhang
Xiangyu Zhang is a computer vision and deep learning researcher known for his contributions to convolutional neural network architectures and large-scale visual recognition.
-
C.
Ziyu Wang
Ziyu Wang is a machine learning researcher best known for co-developing the dueling deep Q-network (Dueling DQN) architecture in deep reinforcement learning.
-
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.
Tinghui Zhou
Tinghui Zhou is a computer vision and machine learning researcher known for influential work on unsupervised learning and image-to-image translation.
- 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: Zihang Dai Triple: [XLNet, hasAuthor, Zihang Dai]
Generated description
Zihang Dai is a computer scientist and AI researcher known for his contributions to natural language processing, including co-developing the XLNet language model.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zihang Dai Target entity description: Zihang Dai is a computer scientist and AI researcher known for his contributions to natural language processing, including co-developing the XLNet language model.
-
A.
Haochen Zhang
Haochen Zhang is a Chinese concert pianist acclaimed for winning the gold medal at the 2009 Van Cliburn International Piano Competition and for his virtuosic performances worldwide.
-
B.
Xiangyu Zhang
Xiangyu Zhang is a computer vision and deep learning researcher known for his contributions to convolutional neural network architectures and large-scale visual recognition.
-
C.
Ziyu Wang
Ziyu Wang is a machine learning researcher best known for co-developing the dueling deep Q-network (Dueling DQN) architecture in deep reinforcement learning.
-
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.
Tinghui Zhou
Tinghui Zhou is a computer vision and machine learning researcher known for influential work on unsupervised learning and image-to-image translation.
- 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_6a039f0e52108190913cc5c667619d89 |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a039fdd9c4c819083b450657d0ece43 |
completed | May 12, 2026, 9:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a0d6de8c8190b1f94c7de0856143 |
completed | May 12, 2026, 9:51 p.m. |
Created at: April 10, 2026, 10:32 a.m.