Triple

T1593809
Position Surface form Disambiguated ID Type / Status
Subject Masayoshi Son E34233 entity
Predicate founded P104 FINISHED
Object SoftBank Group Corp. E79659 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: SoftBank Group Corp. | Statement: [Masayoshi Son, founded, SoftBank Group Corp.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SoftBank Group Corp.
Context triple: [Masayoshi Son, founded, SoftBank Group Corp.]
  • A. SoftBank Group chosen
    SoftBank Group is a Japanese multinational conglomerate holding company best known for its large-scale technology investments and telecommunications businesses.
  • B. NTT DoCoMo
    NTT DoCoMo is Japan’s largest mobile network operator, known for pioneering advanced mobile technologies and services, including early 3G deployments.
  • C. Tokyo Tsushin Kogyo
    Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
  • D. Alibaba Group
    Alibaba Group is a Chinese multinational conglomerate specializing in e-commerce, retail, internet, and technology, best known for operating major online marketplaces like Taobao and Tmall.
  • E. Keio Corporation
    Keio Corporation is a major Japanese private railway and transportation company operating rail lines and related services in the Tokyo metropolitan area.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092aed308190a0198a0fb977a9e5 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51b9c6588190810ede38d9e714e2 completed March 8, 2026, 10:38 a.m.
Created at: March 4, 2026, 7:27 p.m.