Triple

T18205124
Position Surface form Disambiguated ID Type / Status
Subject Swin Transformer E435882 entity
Predicate firstAuthor P12787 FINISHED
Object Ze Liu
Ze Liu is a computer vision researcher best known as the lead author of the Swin Transformer architecture for visual recognition.
 E1331252 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: Ze Liu | Statement: [Swin Transformer, firstAuthor, Ze Liu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ze Liu
Context triple: [Swin Transformer, firstAuthor, Ze Liu]
  • A. Wei Liu
    Wei Liu is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work on object detection.
  • B. Huan Liu
    Huan Liu is a prominent computer scientist known for his influential research in data mining and machine learning, particularly in feature selection and social media analytics.
  • C. Gong Liu
    Gong Liu was an early Zhou dynasty leader credited with consolidating and expanding the Zhou clan, laying foundations for the later rise of the Zhou state in ancient China.
  • 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. Liqun Luo
    Liqun Luo is a prominent neuroscientist known for his work on neural circuit assembly and function, particularly using Drosophila and mouse models.
  • 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: Ze Liu
Triple: [Swin Transformer, firstAuthor, Ze Liu]
Generated description
Ze Liu is a computer vision researcher best known as the lead author of the Swin Transformer architecture for visual recognition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ze Liu
Target entity description: Ze Liu is a computer vision researcher best known as the lead author of the Swin Transformer architecture for visual recognition.
  • A. Wei Liu
    Wei Liu is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work on object detection.
  • B. Huan Liu
    Huan Liu is a prominent computer scientist known for his influential research in data mining and machine learning, particularly in feature selection and social media analytics.
  • C. Gong Liu
    Gong Liu was an early Zhou dynasty leader credited with consolidating and expanding the Zhou clan, laying foundations for the later rise of the Zhou state in ancient China.
  • 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. Liqun Luo
    Liqun Luo is a prominent neuroscientist known for his work on neural circuit assembly and function, particularly using Drosophila and mouse models.
  • 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_6a04f8731fc08190b37f22ee3457bf6c completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f97b1b94819093fa1b374a4b1809 completed May 13, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a04f9dd338881908b300bab7947f736 completed May 13, 2026, 10:23 p.m.
Created at: April 10, 2026, 10:32 a.m.