Triple

T8083050
Position Surface form Disambiguated ID Type / Status
Subject Zhou Lingzhao E188663 entity
Predicate givenName P17 FINISHED
Object Lingzhao
Lingzhao is the given name of Zhou Lingzhao, a notable Chinese artist and designer known for his contributions to modern Chinese visual culture.
 E719669 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: Lingzhao | Statement: [Zhou Lingzhao, givenName, Lingzhao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lingzhao
Context triple: [Zhou Lingzhao, givenName, Lingzhao]
  • A. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • B. Chuanfang
    Chuanfang is the given name of Sun Chuanfang, a prominent Chinese warlord and military leader during the Warlord Era of early 20th-century China.
  • C. Zizhan
    Zizhan is the courtesy name of Su Shi, the renowned Song dynasty Chinese poet, calligrapher, and statesman also known as Su Dongpo.
  • D. Yangluo
    Yangluo is a town in Wuhan, Hubei Province, China, known as an industrial and port area along the Yangtze River.
  • E. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty 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: Lingzhao
Triple: [Zhou Lingzhao, givenName, Lingzhao]
Generated description
Lingzhao is the given name of Zhou Lingzhao, a notable Chinese artist and designer known for his contributions to modern Chinese visual culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lingzhao
Target entity description: Lingzhao is the given name of Zhou Lingzhao, a notable Chinese artist and designer known for his contributions to modern Chinese visual culture.
  • A. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • B. Chuanfang
    Chuanfang is the given name of Sun Chuanfang, a prominent Chinese warlord and military leader during the Warlord Era of early 20th-century China.
  • C. Zizhan
    Zizhan is the courtesy name of Su Shi, the renowned Song dynasty Chinese poet, calligrapher, and statesman also known as Su Dongpo.
  • D. Yangluo
    Yangluo is a town in Wuhan, Hubei Province, China, known as an industrial and port area along the Yangtze River.
  • E. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb415cb4688190920868317e77bbff completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cceceb7fa48190b1013a25fd8f14a5 completed April 1, 2026, 10:01 a.m.
NEDg Description generation batch_69ccf09a952c8190ace6a9f0012ad90a completed April 1, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69cd055292088190927046793cec1c36 completed April 1, 2026, 11:45 a.m.
Created at: March 30, 2026, 5:28 p.m.