Triple

T7789954
Position Surface form Disambiguated ID Type / Status
Subject Emperor Guangwu of Han E187350 entity
Predicate mother P120 FINISHED
Object Fan Chong
Fan Chong was the mother of Emperor Guangwu, the founding ruler of the Eastern Han dynasty in ancient China.
 E693607 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: Fan Chong | Statement: [Emperor Guangwu of Han, mother, Fan Chong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fan Chong
Context triple: [Emperor Guangwu of Han, mother, Fan Chong]
  • A. 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.
  • B. Fa Li
    Fa Li is Mulan’s caring and traditional mother in Disney’s 1998 animated film, providing comic relief and emotional support within the Fa family.
  • C. Shuo Fu
    Shuo Fu is a chapter of the Daoist classic Liezi, traditionally attributed to the philosopher Lie Yukou and known for its collection of philosophical anecdotes and parables.
  • D. Zhu Chen
    Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
  • E. Chih-chung
    Chih-chung is an alternative romanization of the Chinese given name Zhizhong, used in older or non–pinyin transcription systems.
  • 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: Fan Chong
Triple: [Emperor Guangwu of Han, mother, Fan Chong]
Generated description
Fan Chong was the mother of Emperor Guangwu, the founding ruler of the Eastern Han dynasty in ancient China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fan Chong
Target entity description: Fan Chong was the mother of Emperor Guangwu, the founding ruler of the Eastern Han dynasty in ancient China.
  • A. 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.
  • B. Fa Li
    Fa Li is Mulan’s caring and traditional mother in Disney’s 1998 animated film, providing comic relief and emotional support within the Fa family.
  • C. Shuo Fu
    Shuo Fu is a chapter of the Daoist classic Liezi, traditionally attributed to the philosopher Lie Yukou and known for its collection of philosophical anecdotes and parables.
  • D. Zhu Chen
    Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
  • E. Chih-chung
    Chih-chung is an alternative romanization of the Chinese given name Zhizhong, used in older or non–pinyin transcription systems.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cae7ea13f08190a60c5f1863bce816 completed March 30, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf62c8568819090c058b0c55b7865 completed March 30, 2026, 10:16 p.m.
NEDg Description generation batch_69caf820b05481908b405048c077ca2e completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa052d4481908b89f6001aa6ea01 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:25 p.m.