Triple

T8115218
Position Surface form Disambiguated ID Type / Status
Subject Ouyang Xiu E189454 entity
Predicate influenced P9 FINISHED
Object Wang Anshi E709244 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: Wang Anshi | Statement: [Ouyang Xiu, influenced, Wang Anshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wang Anshi
Context triple: [Ouyang Xiu, influenced, Wang Anshi]
  • A. Wang Anshi chosen
    Wang Anshi was an influential 11th-century Song dynasty statesman, economist, and poet known for implementing ambitious New Policies aimed at strengthening the state and reforming its bureaucracy and economy.
  • B. Sima Guang
    Sima Guang was an influential Song dynasty historian and statesman best known for compiling the monumental historical chronicle "Zizhi Tongjian."
  • 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. Zeng Gong
    Zeng Gong was an influential Song dynasty scholar, historian, and prose writer renowned as one of the "Eight Great Prose Masters of the Tang and Song."
  • E. Chao Cuo
    Chao Cuo was an influential early Han dynasty statesman and reformer whose policies and advice on centralization and frontier defense helped shape imperial governance in China.
  • 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_69ccbea5d39c819099d52545410ae564 completed April 1, 2026, 6:43 a.m.
Created at: March 30, 2026, 5:33 p.m.