Triple

T9385562
Position Surface form Disambiguated ID Type / Status
Subject Wang Jianlin E225894 entity
Predicate alternateName P39 FINISHED
Object Jianlin Wang
Jianlin Wang is a Chinese billionaire businessman best known as the founder and chairman of the Dalian Wanda Group, a major global real estate and entertainment conglomerate.
 E796008 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: Jianlin Wang | Statement: [Wang Jianlin, alternateName, Jianlin Wang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jianlin Wang
Context triple: [Wang Jianlin, alternateName, Jianlin Wang]
  • A. Xindong Wu
    Xindong Wu is a prominent computer scientist known for his influential contributions to data mining and knowledge discovery research.
  • B. Yanluo Wang
    Yanluo Wang is the Chinese deity who presides over the underworld and judges the souls of the dead.
  • C. Jian Sun
    Jian Sun is a Chinese computer vision researcher known for his influential work in deep learning and as a co-author of the seminal ResNet architecture.
  • D. 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.
  • E. Xiaodong Chen
    Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
  • 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: Jianlin Wang
Triple: [Wang Jianlin, alternateName, Jianlin Wang]
Generated description
Jianlin Wang is a Chinese billionaire businessman best known as the founder and chairman of the Dalian Wanda Group, a major global real estate and entertainment conglomerate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jianlin Wang
Target entity description: Jianlin Wang is a Chinese billionaire businessman best known as the founder and chairman of the Dalian Wanda Group, a major global real estate and entertainment conglomerate.
  • A. Xindong Wu
    Xindong Wu is a prominent computer scientist known for his influential contributions to data mining and knowledge discovery research.
  • B. Yanluo Wang
    Yanluo Wang is the Chinese deity who presides over the underworld and judges the souls of the dead.
  • C. Jian Sun
    Jian Sun is a Chinese computer vision researcher known for his influential work in deep learning and as a co-author of the seminal ResNet architecture.
  • D. 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.
  • E. Xiaodong Chen
    Xiaodong Chen is a prominent materials scientist and nanotechnology researcher who serves as editor-in-chief of the journal ACS Nano.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50d142008190840e131e8f1940f9 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100eb108c8190add5bacfea1f800a completed April 4, 2026, 12:15 p.m.
NEDg Description generation batch_69d1017a36e0819091bd6d7bc75d1a97 completed April 4, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69d10270f9948190bbf937089f88bacf completed April 4, 2026, 12:22 p.m.
Created at: March 30, 2026, 7:44 p.m.