Triple

T21150209
Position Surface form Disambiguated ID Type / Status
Subject 孔祥熙 E521167 entity
Predicate 中文名 P4878 FINISHED
Object 孔祥熙 — NE NERFINISHED

How this triple was built (2 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: 孔祥熙 | Statement: [孔祥熙, 中文名, 孔祥熙]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 孔祥熙
Context triple: [孔祥熙, 中文名, 孔祥熙]
  • A. 孔祥熙 chosen
    孔祥熙是中国近代著名的银行家和政治人物，曾在国民政府中担任财政部长等要职并深度参与当时的金融与经济政策制定。
  • B. 宋子文
    宋子文 was a prominent Chinese banker and politician of the Republic of China era, known for serving as finance minister and premier and for his influential role in managing wartime finances and diplomacy.
  • C. 汪兆铭
    汪兆铭 was a prominent Chinese politician and early associate of Sun Yat-sen who later became infamous for leading the Japanese-backed collaborationist regime in Nanjing during World War II.
  • D. 徐世昌
    徐世昌 was a prominent late Qing and early Republic of China politician who served as President of the Beiyang government from 1918 to 1922.
  • E. 張學良
    張學良是一位中國近代著名軍事與政治人物，以在西安事變中扣留蔣介石、促成國共合作抗日而聞名。
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72400911c8190978e88138a9bfaff completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.