Triple

T19816485
Position Surface form Disambiguated ID Type / Status
Subject Wen Jiabao E476070 entity
Predicate familyName P18 FINISHED
Object Wen
Wen is a Chinese surname borne by numerous individuals, including prominent political figures such as former premier Wen Jiabao.
 E1396881 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: Wen | Statement: [Wen Jiabao, familyName, Wen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wen
Context triple: [Wen Jiabao, familyName, Wen]
  • A. Wen
    Wen is the given name of Sun I-hsien, a person identifiable by this personal name within Chinese naming conventions.
  • B. Wen
    Wen was the personal given name of Emperor Yizong, a ninth-century ruler of China’s Tang dynasty.
  • C. Wen
    Wen is the posthumous title of King Wen of Zhou, the virtuous and foundational ruler traditionally credited with laying the groundwork for the Zhou dynasty in ancient China.
  • D. Wenz
    Wenz is a surname variant of Wentz, typically of German origin.
  • E. Wèi
    Wèi is the pinyin romanization of the name of the ancient Chinese State of Wei, a major political power during the Warring States period.
  • 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: Wen
Triple: [Wen Jiabao, familyName, Wen]
Generated description
Wen is a Chinese surname borne by numerous individuals, including prominent political figures such as former premier Wen Jiabao.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wen
Target entity description: Wen is a Chinese surname borne by numerous individuals, including prominent political figures such as former premier Wen Jiabao.
  • A. Wen
    Wen is the given name of Sun I-hsien, a person identifiable by this personal name within Chinese naming conventions.
  • B. Wen
    Wen was the personal given name of Emperor Yizong, a ninth-century ruler of China’s Tang dynasty.
  • C. Wen
    Wen is the posthumous title of King Wen of Zhou, the virtuous and foundational ruler traditionally credited with laying the groundwork for the Zhou dynasty in ancient China.
  • D. Wenz
    Wenz is a surname variant of Wentz, typically of German origin.
  • E. Wèi
    Wèi is the pinyin romanization of the name of the ancient Chinese State of Wei, a major political power during the Warring States period.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f9c5b08190987237f5144c3b37 completed April 20, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07cccc33fc8190958cc5d5cb2feb79 completed May 16, 2026, 1:47 a.m.
NEDg Description generation batch_6a07ce282658819096ff374b1605146f completed May 16, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_6a07cf0327408190be73a41d2663836a completed May 16, 2026, 1:57 a.m.
Created at: April 10, 2026, 1:50 p.m.