Triple

T10256066
Position Surface form Disambiguated ID Type / Status
Subject Kubashima E240468 entity
Predicate chineseName P4878 FINISHED
Object Huangwei Yu
Huangwei Yu is the Chinese name of the character Kubashima.
E851005 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: Huangwei Yu | Statement: [Kubashima, chineseName, Huangwei Yu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huangwei Yu
Context triple: [Kubashima, chineseName, Huangwei Yu]
  • A. Huangwei Yu
    Huangwei Yu is a small outlying islet associated with the Diaoyutai (Senkaku) Islands in the East China Sea, known primarily within the context of regional territorial disputes.
  • B. Yuhuai Wu
    Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
  • C. Chiwei Yu
    Chiwei Yu is a small, remote islet in the East China Sea that is part of the disputed Diaoyutai/Senkaku Islands archipelago.
  • D. Guiyou Huang
    Guiyou Huang is an American higher-education leader and scholar who serves as president of Western Illinois University.
  • E. Huang Hao
    Huang Hao was a powerful and notoriously corrupt eunuch official who dominated the later court of Shu Han under Emperor Liu Shan during the Three Kingdoms period of China.
  • 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: Huangwei Yu
Triple: [Kubashima, chineseName, Huangwei Yu]
Generated description
Huangwei Yu is the Chinese name of the character Kubashima.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huangwei Yu
Target entity description: Huangwei Yu is the Chinese name of the character Kubashima.
  • A. Huangwei Yu
    Huangwei Yu is a small outlying islet associated with the Diaoyutai (Senkaku) Islands in the East China Sea, known primarily within the context of regional territorial disputes.
  • B. Yuhuai Wu
    Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
  • C. Chiwei Yu
    Chiwei Yu is a small, remote islet in the East China Sea that is part of the disputed Diaoyutai/Senkaku Islands archipelago.
  • D. Guiyou Huang
    Guiyou Huang is an American higher-education leader and scholar who serves as president of Western Illinois University.
  • E. Huang Hao
    Huang Hao was a powerful and notoriously corrupt eunuch official who dominated the later court of Shu Han under Emperor Liu Shan during the Three Kingdoms period of China.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24c69ac81908b4da53d13407ac8 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7d7ff0c8190b8c9cf063532cdf2 completed April 9, 2026, 12:50 a.m.
NEDg Description generation batch_69d6fa3149e48190825600ee28ed7231 completed April 9, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69d6fcbee9088190869b1fcb6f909be3 completed April 9, 2026, 1:11 a.m.
Created at: April 6, 2026, 11:30 a.m.