Triple
T18205125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swin Transformer |
E435882
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object |
Yutong Lin
Yutong Lin is a computer vision researcher known for co-authoring the influential Swin Transformer architecture for visual recognition.
|
E1312472
|
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: Yutong Lin | Statement: [Swin Transformer, coAuthor, Yutong Lin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yutong Lin Context triple: [Swin Transformer, coAuthor, Yutong Lin]
-
A.
Yang Ming
Yang Ming is a Chinese basketball coach and former player best known for leading the Liaoning Flying Leopards in the Chinese Basketball Association (CBA).
-
B.
Shuheng
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
-
C.
Yongqi
Yongqi was a Qing dynasty imperial prince, noted as one of the most talented sons of the Qianlong Emperor before his early death.
-
D.
Chen Lin
Chen Lin was a prominent Ming dynasty naval commander who played a key role in defending Korea against Japanese forces during the late 16th-century Imjin War.
-
E.
Zhao Lin
Zhao Lin is a Chinese film composer known for scoring numerous contemporary Chinese movies.
- 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: Yutong Lin Triple: [Swin Transformer, coAuthor, Yutong Lin]
Generated description
Yutong Lin is a computer vision researcher known for co-authoring the influential Swin Transformer architecture for visual recognition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yutong Lin Target entity description: Yutong Lin is a computer vision researcher known for co-authoring the influential Swin Transformer architecture for visual recognition.
-
A.
Yang Ming
Yang Ming is a Chinese basketball coach and former player best known for leading the Liaoning Flying Leopards in the Chinese Basketball Association (CBA).
-
B.
Shuheng
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
-
C.
Yongqi
Yongqi was a Qing dynasty imperial prince, noted as one of the most talented sons of the Qianlong Emperor before his early death.
-
D.
Chen Lin
Chen Lin was a prominent Ming dynasty naval commander who played a key role in defending Korea against Japanese forces during the late 16th-century Imjin War.
-
E.
Zhao Lin
Zhao Lin is a Chinese film composer known for scoring numerous contemporary Chinese movies.
- 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.