Triple

T4019456
Position Surface form Disambiguated ID Type / Status
Subject Zhan E91243 entity
Predicate hasAlternativeRomanization P5923 FINISHED
Object Chan (Cantonese for 詹 or 占 etc.)
Chan is the Cantonese romanization of the Chinese surname 詹 (and sometimes 占), corresponding to the Mandarin romanization Zhan.
 E405939 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: Chan (Cantonese for 詹 or 占 etc.) | Statement: [Zhan, hasAlternativeRomanization, Chan (Cantonese for 詹 or 占 etc.)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chan (Cantonese for 詹 or 占 etc.)
Context triple: [Zhan, hasAlternativeRomanization, Chan (Cantonese for 詹 or 占 etc.)]
  • A. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • B. Cheung
    Cheung is a Cantonese romanization of the Chinese surname commonly spelled "Zhang" in Mandarin pinyin.
  • C. Ching
    Ching is the surname of Brian Ching, a retired American soccer player best known as a forward for the Houston Dynamo and the U.S. national team.
  • D. Cheng
    Cheng is a given name associated with the Chinese politician Chen Cheng.
  • E. Wade–Giles
    Wade–Giles is a historical system for romanizing Mandarin Chinese that was widely used in the English-speaking world before being largely replaced by Pinyin.
  • 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: Chan (Cantonese for 詹 or 占 etc.)
Triple: [Zhan, hasAlternativeRomanization, Chan (Cantonese for 詹 or 占 etc.)]
Generated description
Chan is the Cantonese romanization of the Chinese surname 詹 (and sometimes 占), corresponding to the Mandarin romanization Zhan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chan (Cantonese for 詹 or 占 etc.)
Target entity description: Chan is the Cantonese romanization of the Chinese surname 詹 (and sometimes 占), corresponding to the Mandarin romanization Zhan.
  • A. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • B. Cheung
    Cheung is a Cantonese romanization of the Chinese surname commonly spelled "Zhang" in Mandarin pinyin.
  • C. Ching
    Ching is the surname of Brian Ching, a retired American soccer player best known as a forward for the Houston Dynamo and the U.S. national team.
  • D. Cheng
    Cheng is a given name associated with the Chinese politician Chen Cheng.
  • E. Wade–Giles
    Wade–Giles is a historical system for romanizing Mandarin Chinese that was widely used in the English-speaking world before being largely replaced by Pinyin.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01994b0c8190b34af36acadad5c6 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c7cb0ec8190b7e4646a934ddb07 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54d06c7c881908b30ba813c009d25 completed March 14, 2026, 11:56 a.m.
NED2 Entity disambiguation (via description) batch_69b54d739e588190b23c06b10b4f540e completed March 14, 2026, 11:58 a.m.
Created at: March 9, 2026, 3:35 p.m.