Triple

T14315838
Position Surface form Disambiguated ID Type / Status
Subject Li Yuanhong E354953 entity
Predicate givenName P17 FINISHED
Object Yuanhong E354953 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: Yuanhong | Statement: [Li Yuanhong, givenName, Yuanhong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuanhong
Context triple: [Li Yuanhong, givenName, Yuanhong]
  • A. Yuanhong chosen
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • B. Yuanxin
    Yuanxin is the given name of Mao Yuanxin, a Chinese political figure known for being the nephew of Mao Zedong and a prominent youth leader during the Cultural Revolution.
  • C. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • D. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • E. Zhenyuan
    Zhenyuan was a regnal era of the Tang dynasty marked by Emperor Dezong’s efforts to stabilize imperial authority and restore central control after periods of rebellion and fragmentation.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8838e45c819080ee69dd39e3bd43 completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4687c6bc819088452892128c420e completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:12 a.m.