Triple

T9780071
Position Surface form Disambiguated ID Type / Status
Subject King Wen of Zhou E237344 entity
Predicate posthumousName P744 FINISHED
Object 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.
 E819842 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: [King Wen of Zhou, posthumousName, Wen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wen
Context triple: [King Wen of Zhou, posthumousName, Wen]
  • A. Wen
    Wen was the personal given name of Emperor Yizong, a ninth-century ruler of China’s Tang dynasty.
  • B. Wen
    Wen is the given name of Sun I-hsien, a person identifiable by this personal name within Chinese naming conventions.
  • C. Wenz
    Wenz is a surname variant of Wentz, typically of German origin.
  • D. 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.
  • E. Wojin
    Wojin is a family surname associated with individuals such as Benji Wojin.
  • 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: [King Wen of Zhou, posthumousName, Wen]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wen
Target entity description: 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.
  • 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. Wenz
    Wenz is a surname variant of Wentz, typically of German origin.
  • D. 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.
  • E. Wojin
    Wojin is a family surname associated with individuals such as Benji Wojin.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b0b15881909ef52d0156148c59 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd28b0e48190984cf44d88f324d7 completed April 5, 2026, 1:38 a.m.
NEDg Description generation batch_69d1be259b388190bf60b97a6be12715 completed April 5, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_69d1bea090b48190ae903036cc79dded completed April 5, 2026, 1:45 a.m.
Created at: March 30, 2026, 8:27 p.m.