Triple

T3544264
Position Surface form Disambiguated ID Type / Status
Subject He Shuheng E74957 entity
Predicate givenName P17 FINISHED
Object Shuheng
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
 E368231 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: Shuheng | Statement: [He Shuheng, givenName, Shuheng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shuheng
Context triple: [He Shuheng, givenName, Shuheng]
  • 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. Yunghui
    Yunghui was the final era name of the Korean Empire, marking its last years before annexation by Japan in the early 20th century.
  • C. Shiing-Shen
    Shiing-Shen Chern was a Chinese-American mathematician renowned for his foundational contributions to differential geometry and the development of Chern classes in topology.
  • D. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • E. Xue
    Xue is a Chinese surname borne by various notable 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: Shuheng
Triple: [He Shuheng, givenName, Shuheng]
Generated description
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shuheng
Target entity description: Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
  • 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. Yunghui
    Yunghui was the final era name of the Korean Empire, marking its last years before annexation by Japan in the early 20th century.
  • C. Shiing-Shen
    Shiing-Shen Chern was a Chinese-American mathematician renowned for his foundational contributions to differential geometry and the development of Chern classes in topology.
  • D. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • E. Xue
    Xue is a Chinese surname borne by various notable 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf76c5b08190b898d31b80a3a350 completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bdfe5748190b2de831635221ce1 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38fda21fc81909b9ded36239abf93 completed March 13, 2026, 4:17 a.m.
NED2 Entity disambiguation (via description) batch_69b39049e9cc81909ad74d33afe1985e completed March 13, 2026, 4:19 a.m.
Created at: March 8, 2026, 3:20 p.m.