Triple

T23408578
Position Surface form Disambiguated ID Type / Status
Subject Yixuan E560001 entity
Predicate title P38 FINISHED
Object Prince Chun E1171277 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: Prince Chun | Statement: [Yixuan, title, Prince Chun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Chun
Context triple: [Yixuan, title, Prince Chun]
  • A. Prince Chun chosen
    Prince Chun was a Qing dynasty imperial prince and high-ranking noble closely connected to the ruling Aisin Gioro family.
  • B. Prince Chui
    Prince Chui was a royal prince of the Thonburi Kingdom and a son of King Taksin of Siam.
  • C. Prince Tada
    Prince Tada was a Japanese imperial prince of the Higashikuni-no-miya branch of the Imperial Family, noted as a member of this collateral royal house.
  • D. Prince Uimin
    Prince Uimin was a Korean royal prince of the Joseon dynasty and the Korean Empire, known as a younger son of Emperor Gojong and a key figure in the final years of Korea’s monarchy under Japanese rule.
  • E. Prince Rong
    Prince Rong is a Qing dynasty princely title historically associated with Yongqi, a son of the Qianlong Emperor.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a50fff10819094e71fb0c11b7d95 completed April 29, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67979c288190a5ef21c30ab4791d completed May 19, 2026, 1:37 p.m.
Created at: April 17, 2026, 5:38 p.m.