Triple

T5696160
Position Surface form Disambiguated ID Type / Status
Subject Xunzi E125544 entity
Predicate country P26 FINISHED
Object Zhao
Zhao was an ancient Chinese state during the Warring States period, known for its military strength and role in the political fragmentation preceding the Qin unification.
 E542043 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: Zhao | Statement: [Xunzi, country, Zhao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhao
Context triple: [Xunzi, country, Zhao]
  • A. Zhao
    Zhao is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng in China.
  • B. Zhao Lin
    Zhao Lin is a Chinese film composer known for scoring numerous contemporary Chinese movies.
  • C. Zhao Sheng
    Zhao Sheng was a Chinese revolutionary associated with the Tongmenghui, the anti-Qing organization that helped pave the way for the 1911 Xinhai Revolution and the founding of the Republic of China.
  • D. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • E. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in 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: Zhao
Triple: [Xunzi, country, Zhao]
Generated description
Zhao was an ancient Chinese state during the Warring States period, known for its military strength and role in the political fragmentation preceding the Qin unification.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhao
Target entity description: Zhao was an ancient Chinese state during the Warring States period, known for its military strength and role in the political fragmentation preceding the Qin unification.
  • A. Zhao
    Zhao is a common Chinese surname, historically borne by some members of the Jewish community of Kaifeng in China.
  • B. Zhao Lin
    Zhao Lin is a Chinese film composer known for scoring numerous contemporary Chinese movies.
  • C. Zhao Sheng
    Zhao Sheng was a Chinese revolutionary associated with the Tongmenghui, the anti-Qing organization that helped pave the way for the 1911 Xinhai Revolution and the founding of the Republic of China.
  • D. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • E. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240bde1881909f7ea13bd84deaa8 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5635448190ada625283405752f completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05be7f7cc8190bb1f8081289c5e02 completed March 22, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69c0620ee1848190935f5f78abbed7ba completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:45 p.m.