Triple

T15257314
Position Surface form Disambiguated ID Type / Status
Subject Zhu Zhanxi E364680 entity
Predicate givenName P17 FINISHED
Object Zhanxi
Zhanxi is a Chinese given name, here referring to the personal name of an individual surnamed Zhu.
 E1147337 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: Zhanxi | Statement: [Zhu Zhanxi, givenName, Zhanxi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhanxi
Context triple: [Zhu Zhanxi, givenName, Zhanxi]
  • A. Yuanhe
    Yuanhe was the era name used during the reign of Emperor Xianzong in the Tang dynasty, marking a specific period in Chinese imperial history.
  • B. Jianzhong
    Jianzhong was a brief imperial era name used during the reign of Emperor Dezong in the Tang dynasty, marking a specific period in his rule.
  • C. Jianxing
    Jianxing was a historical Chinese era name used during the reign of Eastern Wu ruler Sun Quan in the Three Kingdoms period.
  • D. Jianxing
    Jianxing was the era name used during part of the reign of Liu Shan, the second and last emperor of the Shu Han state in China’s Three Kingdoms period.
  • E. Yongyuan
    Yongyuan was the era name used during part of Emperor Zhang's rule in the Eastern Han dynasty of ancient China.
  • 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: Zhanxi
Triple: [Zhu Zhanxi, givenName, Zhanxi]
Generated description
Zhanxi is a Chinese given name, here referring to the personal name of an individual surnamed Zhu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhanxi
Target entity description: Zhanxi is a Chinese given name, here referring to the personal name of an individual surnamed Zhu.
  • A. Yuanhe
    Yuanhe was the era name used during the reign of Emperor Xianzong in the Tang dynasty, marking a specific period in Chinese imperial history.
  • B. Jianzhong
    Jianzhong was a brief imperial era name used during the reign of Emperor Dezong in the Tang dynasty, marking a specific period in his rule.
  • C. Jianxing
    Jianxing was a historical Chinese era name used during the reign of Eastern Wu ruler Sun Quan in the Three Kingdoms period.
  • D. Jianxing
    Jianxing was the era name used during part of the reign of Liu Shan, the second and last emperor of the Shu Han state in China’s Three Kingdoms period.
  • E. Yongyuan
    Yongyuan was the era name used during part of Emperor Zhang's rule in the Eastern Han dynasty of ancient China.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084b97908190b3bf7ea7bd75bdc0 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f7bd2081909c003deb3a692f18 completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee8a977a48190940f0ed1aedea955 completed May 9, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_69fee9fd19708190afe3ec4c4eacfe66 completed May 9, 2026, 8:02 a.m.
Created at: April 10, 2026, 3:13 a.m.