Triple

T9046659
Position Surface form Disambiguated ID Type / Status
Subject La Jeunesse E216771 entity
Predicate editor P1954 FINISHED
Object Liu Bannong E774374 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: Liu Bannong | Statement: [La Jeunesse, editor, Liu Bannong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liu Bannong
Context triple: [La Jeunesse, editor, Liu Bannong]
  • A. Liu Bannong chosen
    Liu Bannong was an influential early 20th-century Chinese linguist, poet, and scholar who played a key role in the New Culture Movement and the development of modern vernacular Chinese.
  • B. Guo Moruo
    Guo Moruo was a prominent 20th-century Chinese writer, poet, historian, and political figure known for his influential role in modern Chinese literature and cultural life.
  • C. Yu Youren
    Yu Youren was a prominent Chinese calligrapher, educator, and revolutionary politician who played a key role in the early Republic of China.
  • D. Qian Han
    Qian Han is an alternative name for the Former Han dynasty, the earlier phase of China’s Han dynasty that ruled from 206 BCE to 9 CE.
  • E. Cao Xun
    Cao Xun was a prince of the state of Cao Wei during China’s Three Kingdoms period, known primarily as an adopted son of the emperor Cao Rui.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b4e4b888190a425e29b193b506f completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdb868e48190b9d193025cb5b9a2 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:09 p.m.