Triple

T12345759
Position Surface form Disambiguated ID Type / Status
Subject Liao Zhongkai E294349 entity
Predicate givenName P17 FINISHED
Object Zhongkai
Zhongkai is the given name of Liao Zhongkai, a prominent early 20th-century Chinese revolutionary and politician associated with the Kuomintang.
 E978926 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: Zhongkai | Statement: [Liao Zhongkai, givenName, Zhongkai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhongkai
Context triple: [Liao Zhongkai, givenName, Zhongkai]
  • A. Zhonghe
    Zhonghe was the reign era title used by Emperor Xizong during a late period of the Tang dynasty in China.
  • B. Kaihui
    Kaihui is a Chinese given name most notably borne by Yang Kaihui, the revolutionary and early partner of Mao Zedong.
  • C. Jiaying
    Jiaying is an Inhuman leader and Daisy Johnson’s mother in Marvel’s Agents of S.H.I.E.L.D., known for her tragic past and morally complex pursuit of protecting her people.
  • D. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • E. Zhongping
    Zhongping was an era name used during the later years of Emperor Ling’s rule in the Eastern Han dynasty of 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: Zhongkai
Triple: [Liao Zhongkai, givenName, Zhongkai]
Generated description
Zhongkai is the given name of Liao Zhongkai, a prominent early 20th-century Chinese revolutionary and politician associated with the Kuomintang.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhongkai
Target entity description: Zhongkai is the given name of Liao Zhongkai, a prominent early 20th-century Chinese revolutionary and politician associated with the Kuomintang.
  • A. Zhonghe
    Zhonghe was the reign era title used by Emperor Xizong during a late period of the Tang dynasty in China.
  • B. Kaihui
    Kaihui is a Chinese given name most notably borne by Yang Kaihui, the revolutionary and early partner of Mao Zedong.
  • C. Jiaying
    Jiaying is an Inhuman leader and Daisy Johnson’s mother in Marvel’s Agents of S.H.I.E.L.D., known for her tragic past and morally complex pursuit of protecting her people.
  • D. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • E. Zhongping
    Zhongping was an era name used during the later years of Emperor Ling’s rule in the Eastern Han dynasty of 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7a4a448190aa70d66dc2f406c1 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aac9edc8190ab1740d23af1b250 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c55aacc8190a0544306825bdfab completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d51ab8081909c6f534051019dca completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:53 p.m.