Triple

T22348476
Position Surface form Disambiguated ID Type / Status
Subject Tang Shaoyi E552462 entity
Predicate name P16 FINISHED
Object Tang Shaoyi 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: Tang Shaoyi | Statement: [Tang Shaoyi, name, Tang Shaoyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tang Shaoyi
Context triple: [Tang Shaoyi, name, Tang Shaoyi]
  • A. Tang Shaoyi chosen
    Tang Shaoyi was a Chinese statesman and diplomat who briefly served as the first premier of the Republic of China in the early 20th century.
  • B. Tang Jiyao
    Tang Jiyao was a prominent early 20th-century Chinese warlord and politician who controlled Yunnan province during the Warlord Era of the Republic of China.
  • C. Tang Yulin
    Tang Yulin was a Chinese warlord and military commander from Manchuria who played a prominent role in regional politics during the Warlord Era and the early 20th-century struggles in Northeast China.
  • D. Tang Shengzhi
    Tang Shengzhi was a Chinese Nationalist general best known for his controversial leadership during the Second Sino-Japanese War, particularly in the defense and fall of Nanjing in 1937.
  • E. Shi Xiangsheng
    Shi Xiangsheng is a Chinese writer and screenwriter best known for creating the story and script for Zhang Yimou’s acclaimed film "Not One Less."
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1579a1c308190ae2174f99ae317ab completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:43 p.m.