Triple

T6339815
Position Surface form Disambiguated ID Type / Status
Subject Peng Lei E142594 entity
Predicate name P16 FINISHED
Object Peng Lei E142594 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: Peng Lei | Statement: [Peng Lei, name, Peng Lei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peng Lei
Context triple: [Peng Lei, name, Peng Lei]
  • A. Peng Lei chosen
    Peng Lei is a Chinese business executive best known as one of the co-founders of Alibaba Group and a key figure in its early development.
  • B. Ye Li
    Ye Li is a retired Chinese women's basketball player best known as the wife of former NBA star Yao Ming.
  • C. Luo Peijin
    Luo Peijin was a Chinese military officer and notable graduate of the Yunnan Military Academy who played a role in early 20th-century Chinese military and political affairs.
  • D. Zhou Lingzhao
    Zhou Lingzhao was a Chinese artist and designer best known for helping create foundational national symbols of the People’s Republic of China, including its national emblem.
  • E. Luo Ping
    Luo Ping was an 18th-century Chinese painter of the Qing dynasty, renowned for his imaginative and eerie ghost-themed works and association with the Yangzhou school.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06741fbbc81908d947182b197bf59 completed March 22, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64ba8838c8190873ebe0ae9c0237d completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:30 p.m.