Triple

T20282513
Position Surface form Disambiguated ID Type / Status
Subject Zhihong E503184 entity
Predicate hasOrthographicForm P33995 FINISHED
Object Zhihong 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: Zhihong | Statement: [Zhihong, hasOrthographicForm, Zhihong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhihong
Context triple: [Zhihong, hasOrthographicForm, Zhihong]
  • A. Zhihong chosen
    Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
  • B. Shuheng
    Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
  • C. 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.
  • D. Jianwei
    Jianwei is a given name most notably borne by Pan Jianwei, a prominent Chinese quantum physicist recognized for his pioneering work in quantum communication and quantum computing.
  • E. Zhizhi
    Zhizhi was the era name used during the brief reign of Gegeen Khan, a Yuan dynasty emperor of the early 14th century.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6768f86448190842389a98b93a918 completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 10:40 a.m.