Triple

T4975612
Position Surface form Disambiguated ID Type / Status
Subject He (surname) E111757 entity
Predicate scriptForm P9329 FINISHED
Object 何
何 is a common Chinese surname and character used in East Asian languages, often associated with meanings like "what" or "how."
 E484681 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: 何 | Statement: [He (surname), scriptForm, 何]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 何
Context triple: [He (surname), scriptForm, 何]
  • A. 苏
    苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
  • B. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • C. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • D. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • E. He Zhihua
    He Zhihua was a Chinese military officer and notable graduate of the Yunnan Military Academy who contributed to early 20th-century military affairs in 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: 何
Triple: [He (surname), scriptForm, 何]
Generated description
何 is a common Chinese surname and character used in East Asian languages, often associated with meanings like "what" or "how."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 何
Target entity description: 何 is a common Chinese surname and character used in East Asian languages, often associated with meanings like "what" or "how."
  • A. 苏
    苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
  • B. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • C. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • D. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • E. He Zhihua
    He Zhihua was a Chinese military officer and notable graduate of the Yunnan Military Academy who contributed to early 20th-century military affairs in 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7230086c81909c045614721bd89f completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a01e548819087e3a6ae2cd581b9 completed March 21, 2026, 12:07 p.m.
NEDg Description generation batch_69be8c193f2c8190a220ffc2571bcb64 completed March 21, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_69be8c6723f08190b0e722dbb1171173 completed March 21, 2026, 12:17 p.m.
Created at: March 20, 2026, 1:33 p.m.