Triple

T1893213
Position Surface form Disambiguated ID Type / Status
Subject Jensen Huang E41919 entity
Predicate givenName P17 FINISHED
Object Jen-hsun E209934 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: Jen-hsun | Statement: [Jensen Huang, givenName, Jen-hsun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jen-hsun
Context triple: [Jensen Huang, givenName, Jen-hsun]
  • A. Huang Jen-hsun chosen
    Huang Jen-hsun is a Taiwanese-American entrepreneur best known as the co-founder and longtime CEO of NVIDIA, a leading company in graphics processing and AI computing.
  • B. Yen Chia-kan
    Yen Chia-kan was a Taiwanese politician who served as President of the Republic of China in the 1970s, overseeing a period of political transition following Chiang Kai-shek's death.
  • C. Hsu Yung-chang
    Hsu Yung-chang was a Chinese military representative who took part in formalizing Japan’s World War II surrender by signing the Japanese Instrument of Surrender.
  • D. Ni Kwei-tseng
    Ni Kwei-tseng was a Chinese woman best known as the mother of Soong Mei-ling (Madame Chiang Kai-shek) and a matriarch of the influential Soong family.
  • E. Chia-Shun Yih
    Chia-Shun Yih was a prominent Chinese-American fluid dynamicist known for his influential theoretical work on hydrodynamic stability and stratified flows.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1480a6c81909fcf5cce4c42fed4 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeae9e1f4819082afdd3b8e065c01 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:34 p.m.