Triple

T1593831
Position Surface form Disambiguated ID Type / Status
Subject Masayoshi Son E34233 entity
Predicate businessPhilosophy P6778 FINISHED
Object aggressive, long-term technology investing LITERAL 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: aggressive, long-term technology investing | Statement: [Masayoshi Son, businessPhilosophy, aggressive, long-term technology investing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: businessPhilosophy
Context triple: [Masayoshi Son, businessPhilosophy, aggressive, long-term technology investing]
  • A. philosophicalConcept
    Indicates that one entity is a philosophical concept that characterizes, explains, or is thematically central to the other entity.
  • B. philosophicalTheme
    Indicates that a work, idea, or discourse centrally involves or explores a particular philosophical concept, question, or line of thought.
  • C. investmentPhilosophy chosen
    Indicates the guiding principles or approach that an entity follows when making investment decisions.
  • D. business
    Indicates that an entity is engaged in commercial or professional activities, such as providing goods or services for profit.
  • E. philosophicalMethod
    Indicates the method, approach, or technique used in conducting philosophical inquiry or reasoning.
  • F. None of above.

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_69a916d413f08190a4e137e5ed262e25 completed March 5, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69a907bfb39c8190a31e0be14d3d52e6 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:27 p.m.