Triple

T21150331
Position Surface form Disambiguated ID Type / Status
Subject St. John’s College E521169 entity
Predicate notableAlumni P51 FINISHED
Object Yu Youren NE NERFINISHED

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: Yu Youren | Statement: [St. John’s College, notableAlumni, Yu Youren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yu Youren
Context triple: [St. John’s College, notableAlumni, Yu Youren]
  • A. Yu Youren chosen
    Yu Youren was a prominent Chinese calligrapher, educator, and revolutionary politician who played a key role in the early Republic of China.
  • B. Zeng Liansong
    Zeng Liansong was a Chinese designer best known for creating the national flag of the People's Republic of China.
  • C. Liu Bannong
    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.
  • D. Zhang Taiyan
    Zhang Taiyan was a prominent Chinese revolutionary, philologist, and nationalist thinker of the late Qing and early Republican era, known for his influential role in anti-Qing movements and modern Chinese intellectual history.
  • E. Yuan Weishi
    Yuan Weishi is a Chinese historian and public intellectual known for his critical examinations of modern Chinese history and education.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72400911c8190978e88138a9bfaff completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.