Triple

T10350143
Position Surface form Disambiguated ID Type / Status
Subject Tony Tan Keng Yam E243859 entity
Predicate nativeName P15 FINISHED
Object 陈庆炎
陈庆炎是新加坡前总统、资深政治家和前副总理,以在教育与经济发展领域的长期贡献而知名。
E857828 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: 陈庆炎 | Statement: [Tony Tan Keng Yam, nativeName, 陈庆炎]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 陈庆炎
Context triple: [Tony Tan Keng Yam, nativeName, 陈庆炎]
  • A. 刘永清
    刘永清是一位中国女性公众人物,因其与中国前国家领导人胡锦涛的婚姻关系而广为人知。
  • B. Guo Shuqing
    Guo Shuqing is a prominent Chinese economist and senior financial regulator who has held key positions overseeing China’s banking and insurance sectors.
  • C. Chen Qigang
    Chen Qigang is a prominent Chinese-French composer known for his lyrical orchestral works and acclaimed film scores that blend Eastern and Western musical traditions.
  • D. Peng Qinghua
    Peng Qinghua is a Chinese politician who has held prominent regional leadership roles, including serving as the Communist Party Secretary of Sichuan Province.
  • E. Chen Youliang
    Chen Youliang was a prominent 14th-century Chinese warlord who founded the short-lived Han dynasty and became a major rival to Zhu Yuanzhang during the collapse of the Yuan dynasty.
  • 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: 陈庆炎
Triple: [Tony Tan Keng Yam, nativeName, 陈庆炎]
Generated description
陈庆炎是新加坡前总统、资深政治家和前副总理,以在教育与经济发展领域的长期贡献而知名。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 陈庆炎
Target entity description: 陈庆炎是新加坡前总统、资深政治家和前副总理,以在教育与经济发展领域的长期贡献而知名。
  • A. 刘永清
    刘永清是一位中国女性公众人物,因其与中国前国家领导人胡锦涛的婚姻关系而广为人知。
  • B. Guo Shuqing
    Guo Shuqing is a prominent Chinese economist and senior financial regulator who has held key positions overseeing China’s banking and insurance sectors.
  • C. Chen Qigang
    Chen Qigang is a prominent Chinese-French composer known for his lyrical orchestral works and acclaimed film scores that blend Eastern and Western musical traditions.
  • D. Peng Qinghua
    Peng Qinghua is a Chinese politician who has held prominent regional leadership roles, including serving as the Communist Party Secretary of Sichuan Province.
  • E. Chen Youliang
    Chen Youliang was a prominent 14th-century Chinese warlord who founded the short-lived Han dynasty and became a major rival to Zhu Yuanzhang during the collapse of the Yuan dynasty.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e94796d881909e0b908de63a1aa3 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75095625c819082d4d0976a193e6c completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d7618da0188190901026dd51ceaa46 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77045ea988190bd8e31f5f636f69b completed April 9, 2026, 9:24 a.m.
Created at: April 6, 2026, 11:57 a.m.