Triple

T20967942
Position Surface form Disambiguated ID Type / Status
Subject Chen Shui-bian E516418 entity
Predicate spouse P13 FINISHED
Object Wu Shu-chen 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: Wu Shu-chen | Statement: [Chen Shui-bian, spouse, Wu Shu-chen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wu Shu-chen
Context triple: [Chen Shui-bian, spouse, Wu Shu-chen]
  • A. Wu Shu-chen chosen
    Wu Shu-chen is a Taiwanese politician and human rights advocate, best known as the wife of former President Chen Shui-bian and for her prominent role in Taiwan’s pro-democracy movement.
  • B. Li Chengqian
    Li Chengqian was the ill-fated crown prince of the Tang dynasty who was deposed after plotting against his father, Emperor Taizong.
  • C. Sun Chen
    Sun Chen was a powerful and ultimately tyrannical regent of Eastern Wu during the Three Kingdoms period of China, whose rule ended in his execution after a failed attempt to consolidate power.
  • D. Qiang Chen
    Qiang Chen is a computer vision and deep learning researcher known for co-authoring the influential Network-in-Network convolutional neural network architecture.
  • E. Yao Yecheng
    Yao Yecheng was the adoptive mother of Chiang Wei-kuo, the son of Chinese Nationalist leader Chiang Kai-shek.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb9d6b548190af7214ad2468cfbf completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:39 p.m.