Triple

T735512
Position Surface form Disambiguated ID Type / Status
Subject Chan E14920 entity
Predicate transliteratesToPinyin P2508 FINISHED
Object Zhan
Zhan is a Chinese surname and given name represented in pinyin, corresponding to one of several Chinese characters and family lineages.
 E91243 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: Zhan | Statement: [Chan, transliteratesToPinyin, Zhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhan
Context triple: [Chan, transliteratesToPinyin, Zhan]
  • A. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • B. Zhao
    Zhao is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng in China.
  • C. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • D. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • E. Pei
    Pei is the family name of I. M. Pei, the renowned Chinese-American architect known for designing landmarks such as the Louvre Pyramid in Paris.
  • 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: Zhan
Triple: [Chan, transliteratesToPinyin, Zhan]
Generated description
Zhan is a Chinese surname and given name represented in pinyin, corresponding to one of several Chinese characters and family lineages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhan
Target entity description: Zhan is a Chinese surname and given name represented in pinyin, corresponding to one of several Chinese characters and family lineages.
  • A. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • B. Zhao
    Zhao is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng in China.
  • C. Zhengyia
    Zhengyia is a little-known genus of flowering plants in the hemp family Cannabaceae, likely comprising herbaceous species native to East Asia.
  • D. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • E. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9ba3888190889a1ad554f73c5e completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6666ebf2c8190b0b0f1b9aa8ac12d completed March 3, 2026, 4:41 a.m.
NEDg Description generation batch_69a6686770708190952846f9549ecf89 completed March 3, 2026, 4:49 a.m.
NED2 Entity disambiguation (via description) batch_69a668dd28b081909501f2bd68b724c7 completed March 3, 2026, 4:51 a.m.
Created at: March 1, 2026, 7:37 p.m.