Triple

T10057475
Position Surface form Disambiguated ID Type / Status
Subject Li Bai E208897 entity
Predicate nativeName P15 FINISHED
Object 李白 E208897 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: 李白 | Statement: [Li Bai, nativeName, 李白]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 李白
Context triple: [Li Bai, nativeName, 李白]
  • A. Li Bai chosen
    Li Bai was a renowned Chinese poet of the Tang dynasty, celebrated for his romantic, imaginative verse and mastery of classical Chinese poetry.
  • B. Bai Juyi
    Bai Juyi was a prominent Chinese poet and official of the Tang dynasty, renowned for his accessible, socially conscious verse and enduring influence on East Asian literature.
  • C. Du Fu
    Du Fu was a preeminent Tang dynasty poet renowned for his profound social conscience, historical insight, and technical mastery, often hailed as one of China's greatest poets.
  • D. poet Cui Hao
    Cui Hao was a prominent Tang dynasty poet best known for his celebrated poem about Yellow Crane Tower, which has secured his lasting place in Chinese literary history.
  • E. Li Kuan
    Li Kuan 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfaf7700819084dedf7b63e789c1 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a5258788190a4ecdefa5b520609 completed April 5, 2026, 5:22 p.m.
Created at: March 30, 2026, 8:57 p.m.