Triple

T23528129
Position Surface form Disambiguated ID Type / Status
Subject Zhang Ruimin E576488 entity
Predicate name P16 FINISHED
Object Zhang Ruimin 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: Zhang Ruimin | Statement: [Zhang Ruimin, name, Zhang Ruimin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhang Ruimin
Context triple: [Zhang Ruimin, name, Zhang Ruimin]
  • A. Zhang Ruimin chosen
    Zhang Ruimin is a prominent Chinese business executive best known for transforming Haier into a leading global home appliance and electronics brand.
  • B. Liu Chuanzhi
    Liu Chuanzhi is a Chinese entrepreneur best known as the founder and longtime leader of Lenovo, which he built into one of the world’s largest personal computer manufacturers.
  • C. Yang Yuanqing
    Yang Yuanqing is a Chinese business executive best known as the longtime chairman and CEO of Lenovo, one of the world’s largest personal computer manufacturers.
  • D. Wang Chuanfu
    Wang Chuanfu is a Chinese entrepreneur and engineer best known as the billionaire founder and chairman of electric vehicle and battery giant BYD.
  • E. Ren Zhengfei
    Ren Zhengfei is a Chinese entrepreneur best known as the founder and longtime leader of the telecommunications giant Huawei Technologies.
  • 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_69e245f5a8848190a2ba42e271c6c31f completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ac758038819098f5f597be39274e completed April 29, 2026, 7 a.m.
Created at: April 17, 2026, 6:09 p.m.