Triple

T5690543
Position Surface form Disambiguated ID Type / Status
Subject Middle Chinese E125417 entity
Predicate primarySource P2296 FINISHED
Object Jiyun
Jiyun is an 11th-century Chinese rime dictionary that systematically records and organizes the phonology and characters of Middle Chinese.
 E544100 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: Jiyun | Statement: [Middle Chinese, primarySource, Jiyun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jiyun
Context triple: [Middle Chinese, primarySource, Jiyun]
  • A. Jung-Wien
    Jung-Wien was a late 19th-century Viennese literary circle of young modernist writers and critics, including figures like Hugo von Hofmannsthal, that helped shape Austrian literature and culture.
  • B. Jin
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • C. Jin
    Jin is the standard abbreviation used to refer to Shanxi Province in China.
  • D. Jang
    Jang is one of the small islands that make up Maloelap Atoll in the Republic of the Marshall Islands.
  • E. Changyi
    Changyi is a county-level coastal city in northeastern Shandong Province, China, known for its manufacturing industries and location on the Bohai Sea.
  • 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: Jiyun
Triple: [Middle Chinese, primarySource, Jiyun]
Generated description
Jiyun is an 11th-century Chinese rime dictionary that systematically records and organizes the phonology and characters of Middle Chinese.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jiyun
Target entity description: Jiyun is an 11th-century Chinese rime dictionary that systematically records and organizes the phonology and characters of Middle Chinese.
  • A. Jung-Wien
    Jung-Wien was a late 19th-century Viennese literary circle of young modernist writers and critics, including figures like Hugo von Hofmannsthal, that helped shape Austrian literature and culture.
  • B. Jin
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • C. Jin
    Jin is the standard abbreviation used to refer to Shanxi Province in China.
  • D. Jang
    Jang is one of the small islands that make up Maloelap Atoll in the Republic of the Marshall Islands.
  • E. Changyi
    Changyi is a county-level coastal city in northeastern Shandong Province, China, known for its manufacturing industries and location on the Bohai Sea.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e340a08190b6175fad3e9a32b6 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dd76f008190970c3b17ec8cbfd8 completed March 22, 2026, 11:40 p.m.
NEDg Description generation batch_69c08cf206188190a4e5bb2649d97be9 completed March 23, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69c08dc4d12c8190a7a245d583ef08d4 completed March 23, 2026, 12:48 a.m.
Created at: March 22, 2026, 3:44 p.m.