Triple

T3269318
Position Surface form Disambiguated ID Type / Status
Subject Liang Qichao E68604 entity
Predicate givenName P17 FINISHED
Object Qichao
Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
E343036 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: Qichao | Statement: [Liang Qichao, givenName, Qichao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qichao
Context triple: [Liang Qichao, givenName, Qichao]
  • A. Tuqiao
    Tuqiao is a station in Beijing that serves as the eastern terminus of the city's Batong Line metro route.
  • B. Xiaochang
    Xiaochang is a county in Hubei Province, China, known historically as a rural mission and teaching post where figures like Eric Liddell worked.
  • C. Chongxi
    Chongxi is the given name of Bai Chongxi, a prominent Chinese Muslim general and political figure of the Republic of China.
  • D. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • E. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • 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: Qichao
Triple: [Liang Qichao, givenName, Qichao]
Generated description
Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Qichao
Target entity description: Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • A. Tuqiao
    Tuqiao is a station in Beijing that serves as the eastern terminus of the city's Batong Line metro route.
  • B. Xiaochang
    Xiaochang is a county in Hubei Province, China, known historically as a rural mission and teaching post where figures like Eric Liddell worked.
  • C. Chongxi
    Chongxi is the given name of Bai Chongxi, a prominent Chinese Muslim general and political figure of the Republic of China.
  • D. Yuxiang
    Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
  • E. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafd0eddc8190834a64f6b8e8e9f9 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28efded588190bd6c361e5298b496 completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b28fcef05c8190b9141dcaa3f9145b completed March 12, 2026, 10:05 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6c1c65c81909e661c6beaaec9af completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:09 p.m.