Triple

T9889810
Position Surface form Disambiguated ID Type / Status
Subject Qin law code E181423 entity
Predicate associatedWith P37 FINISHED
Object Li Si E181421 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: Li Si | Statement: [Qin law code, associatedWith, Li Si]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Li Si
Context triple: [Qin law code, associatedWith, Li Si]
  • A. Li Si chosen
    Li Si was a powerful Chinese statesman and legalist philosopher who served as chancellor under Qin Shi Huang and played a key role in the unification and centralization of China.
  • B. Liu Ban
    Liu Ban was a Chinese scholar and official known for serving on the editorial team that compiled the historical chronicle Zizhi Tongjian.
  • C. 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.
  • D. Xun Kuang
    Xun Kuang, better known as Xunzi, was an influential Warring States–period Confucian philosopher noted for his belief in the innate badness of human nature and the importance of ritual and education.
  • E. Li Ji
    Li Ji was a Tang dynasty imperial prince, known primarily as a son of Emperor Xianzong of Tang.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47dfa908190884e96e5e5d6f41f completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d888b408190a68ff55d63558478 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:39 p.m.