Triple
T15218210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ImageNet |
E363692
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Kai Li
Kai Li is a computer scientist known for his influential work in parallel and distributed systems and for co-founding the ImageNet project, which helped drive major advances in computer vision and deep learning.
|
E1143956
|
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: Kai Li | Statement: [ImageNet, creator, Kai Li]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kai Li Context triple: [ImageNet, creator, Kai Li]
-
A.
Kai Chen
Kai Chen is a researcher known for co-authoring influential work in natural language processing and word embeddings alongside Tomas Mikolov.
-
B.
Kai Huang
Kai Huang is an entrepreneur best known as the co-founder of RedOctane, the company behind the hit video game franchise Guitar Hero.
-
C.
William Li
William Li is a Chinese entrepreneur best known as the founder and CEO of the electric vehicle company NIO.
-
D.
Yao Chen
Yao Chen is a prominent Chinese actress and philanthropist known for her influential social media presence and advocacy on social issues.
-
E.
Young Liu
Young Liu is a Taiwanese business executive best known as the chairman of Foxconn, the world’s largest electronics manufacturing services provider.
- 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: Kai Li Triple: [ImageNet, creator, Kai Li]
Generated description
Kai Li is a computer scientist known for his influential work in parallel and distributed systems and for co-founding the ImageNet project, which helped drive major advances in computer vision and deep learning.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kai Li Target entity description: Kai Li is a computer scientist known for his influential work in parallel and distributed systems and for co-founding the ImageNet project, which helped drive major advances in computer vision and deep learning.
-
A.
Kai Chen
Kai Chen is a researcher known for co-authoring influential work in natural language processing and word embeddings alongside Tomas Mikolov.
-
B.
Kai Huang
Kai Huang is an entrepreneur best known as the co-founder of RedOctane, the company behind the hit video game franchise Guitar Hero.
-
C.
William Li
William Li is a Chinese entrepreneur best known as the founder and CEO of the electric vehicle company NIO.
-
D.
Yao Chen
Yao Chen is a prominent Chinese actress and philanthropist known for her influential social media presence and advocacy on social issues.
-
E.
Young Liu
Young Liu is a Taiwanese business executive best known as the chairman of Foxconn, the world’s largest electronics manufacturing services provider.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed345d58c81908a8fd182c0fe7c15 |
completed | May 9, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_69fed7620d948190858c3b4acae0cbf5 |
completed | May 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed7d9934c8190bd2d00830e5d33bb |
completed | May 9, 2026, 6:44 a.m. |
Created at: April 10, 2026, 3:11 a.m.