Triple

T22209602
Position Surface form Disambiguated ID Type / Status
Subject Ann Hui E548905 entity
Predicate familyName P18 FINISHED
Object Hui 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: Hui | Statement: [Ann Hui, familyName, Hui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hui
Context triple: [Ann Hui, familyName, Hui]
  • A. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • B. Hui chosen
    Hui is a Chinese given name commonly used for both males and females, often associated with meanings such as "wisdom" or "favor" depending on the characters used.
  • C. Hua
    Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
  • D. Zhaohui
    Zhaohui was a prominent Qing dynasty general best known for leading imperial forces in several of the Ten Great Campaigns under the Qianlong Emperor.
  • E. Kaihui
    Kaihui is a Chinese given name most notably borne by Yang Kaihui, the revolutionary and early partner of Mao Zedong.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2aefb881909bddbabd4be0bd58 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.