Triple

T1976705
Position Surface form Disambiguated ID Type / Status
Subject Alibaba Group E42930 entity
Predicate formerCEO P6143 FINISHED
Object Jack Ma E108291 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: Jack Ma | Statement: [Alibaba Group, formerCEO, Jack Ma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Ma
Context triple: [Alibaba Group, formerCEO, Jack Ma]
  • A. Jack Ma chosen
    Jack Ma is a Chinese entrepreneur and philanthropist best known as the co-founder and former executive chairman of the e-commerce giant Alibaba Group.
  • B. Ren Zhengfei
    Ren Zhengfei is a Chinese entrepreneur best known as the founder and longtime leader of the telecommunications giant Huawei Technologies.
  • C. Eric Yuan
    Eric Yuan is a Chinese-American entrepreneur and software engineer best known as the founder and CEO of Zoom Video Communications, a leading video-conferencing platform.
  • D. Masayoshi Son
    Masayoshi Son is a Japanese billionaire entrepreneur and investor, best known as the founder and CEO of SoftBank Group and for his influential role in global technology investing.
  • E. Jeff Bezos
    Jeff Bezos is an American entrepreneur and investor best known as the billionaire tech magnate who built Amazon into one of the world’s largest e-commerce and cloud computing companies.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f9a87c8190816db3888787ad76 completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2702954c8190b95de378e263574a completed March 9, 2026, 1:48 a.m.
Created at: March 4, 2026, 7:36 p.m.