Triple

T15862434
Position Surface form Disambiguated ID Type / Status
Subject Bao Xinhe E384623 entity
Predicate nativeName P15 FINISHED
Object 包信和
包信和 is a prominent Chinese physical chemist and academician of the Chinese Academy of Sciences known for his research in catalysis and energy chemistry.
E1180896 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: 包信和 | Statement: [Bao Xinhe, nativeName, 包信和]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 包信和
Context triple: [Bao Xinhe, nativeName, 包信和]
  • A. 何季康
    何季康是中国早期无产阶级革命家、教育家和中国共产党创始成员之一何叔衡所使用的别名。
  • B. 吴大观
    吴大观是中国著名航空发动机专家和教育家,被誉为中国航空发动机事业的重要奠基人之一。
  • C. Zhu Guangya
    Zhu Guangya was a prominent Chinese nuclear physicist and key architect of China’s nuclear weapons and energy programs.
  • D. Liu Yongqing
    Liu Yongqing is a Chinese public figure best known as the wife of former Chinese president Hu Jintao and for her low-profile role as China's first lady during his tenure.
  • E. Ye Zhengguang
    Ye Zhengguang is a descendant of prominent Chinese military leader and politician Ye Ting.
  • 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: 包信和
Triple: [Bao Xinhe, nativeName, 包信和]
Generated description
包信和 is a prominent Chinese physical chemist and academician of the Chinese Academy of Sciences known for his research in catalysis and energy chemistry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 包信和
Target entity description: 包信和 is a prominent Chinese physical chemist and academician of the Chinese Academy of Sciences known for his research in catalysis and energy chemistry.
  • A. 何季康
    何季康是中国早期无产阶级革命家、教育家和中国共产党创始成员之一何叔衡所使用的别名。
  • B. 吴大观
    吴大观是中国著名航空发动机专家和教育家,被誉为中国航空发动机事业的重要奠基人之一。
  • C. Zhu Guangya
    Zhu Guangya was a prominent Chinese nuclear physicist and key architect of China’s nuclear weapons and energy programs.
  • D. Liu Yongqing
    Liu Yongqing is a Chinese public figure best known as the wife of former Chinese president Hu Jintao and for her low-profile role as China's first lady during his tenure.
  • E. Ye Zhengguang
    Ye Zhengguang is a descendant of prominent Chinese military leader and politician Ye Ting.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555c75688190aeae5bcf5bb92bb7 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9439db481908be2f6d8a3cfbc85 completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffaa07df788190bae67f3d9a800331 completed May 9, 2026, 9:41 p.m.
NED2 Entity disambiguation (via description) batch_69ffaaa92a648190a09829ef3197223c completed May 9, 2026, 9:44 p.m.
Created at: April 10, 2026, 4:50 a.m.