Triple

T5233008
Position Surface form Disambiguated ID Type / Status
Subject Doctrine of the Mean E118153 entity
Predicate centralConcept P533 FINISHED
Object zhongyong
Zhongyong is a key Confucian philosophical concept emphasizing balanced moderation, moral equilibrium, and harmony in thought and action.
E504982 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: zhongyong | Statement: [Doctrine of the Mean, centralConcept, zhongyong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: zhongyong
Context triple: [Doctrine of the Mean, centralConcept, zhongyong]
  • A. Zhong
    Zhong is a traditional Chinese bell-like percussion instrument used in ancient ritual and court music.
  • B. Chan zong
    Chan zong is a major school of Chinese Buddhism emphasizing meditation and direct insight into one’s true nature, known in Japan as Zen.
  • C. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • D. Zheyuan
    Zheyuan is a given name most notably borne by the Chinese general and politician Song Zheyuan.
  • E. Zhihong
    Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
  • 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: zhongyong
Triple: [Doctrine of the Mean, centralConcept, zhongyong]
Generated description
Zhongyong is a key Confucian philosophical concept emphasizing balanced moderation, moral equilibrium, and harmony in thought and action.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: zhongyong
Target entity description: Zhongyong is a key Confucian philosophical concept emphasizing balanced moderation, moral equilibrium, and harmony in thought and action.
  • A. Zhong
    Zhong is a traditional Chinese bell-like percussion instrument used in ancient ritual and court music.
  • B. Chan zong
    Chan zong is a major school of Chinese Buddhism emphasizing meditation and direct insight into one’s true nature, known in Japan as Zen.
  • C. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • D. Zheyuan
    Zheyuan is a given name most notably borne by the Chinese general and politician Song Zheyuan.
  • E. Zhihong
    Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b0389048190b55b7c44fe657044 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef8154940819098ed76e14804f4b3 completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef8bfcd1c819090b81f8ebb097c5b completed March 21, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69bef95e7ce48190a1ec2fc27ce37d00 completed March 21, 2026, 8:02 p.m.
Created at: March 20, 2026, 1:49 p.m.