Triple

T8115216
Position Surface form Disambiguated ID Type / Status
Subject Ouyang Xiu E189454 entity
Predicate influenced P9 FINISHED
Object Su Shi E186180 NE FINISHED

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: Su Shi | Statement: [Ouyang Xiu, influenced, Su Shi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Su Shi
Context triple: [Ouyang Xiu, influenced, Su Shi]
  • A. Su Shi chosen
    Su Shi was a renowned Song dynasty Chinese poet, essayist, calligrapher, and statesman celebrated as one of the greatest literary figures in Chinese history.
  • B. Lu You
    Lu You was a prominent Southern Song dynasty poet renowned for his patriotic verse and prolific literary output.
  • C. Ouyang Xiu
    Ouyang Xiu was an influential Song dynasty statesman, historian, and literary figure renowned for his prose, poetry, and role in shaping classical Chinese literature and scholarship.
  • D. Xin Qiji
    Xin Qiji was a prominent Southern Song dynasty poet and military leader renowned for his bold, patriotic ci poetry and complex, allusive style.
  • E. Yan Xiu
    Yan Xiu was a prominent early 20th-century Chinese educator and reformer who played a key role in modernizing China's education system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43308e0081909ea0463dabd74e4d completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3447212881909cca3d016a4b41f4 completed April 1, 2026, 3:05 p.m.
Created at: March 30, 2026, 5:33 p.m.