Triple

T8822311
Position Surface form Disambiguated ID Type / Status
Subject Huang Jen-hsun E209934 entity
Predicate name P16 FINISHED
Object Huang 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: Huang Jen-hsun | Statement: [Huang Jen-hsun, name, Huang Jen-hsun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huang Jen-hsun
Context triple: [Huang Jen-hsun, name, Huang 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. Tseng Wen-hui
    Tseng Wen-hui is a Taiwanese public figure best known as the wife of former President Lee Teng-hui and for serving as First Lady during Taiwan’s transition to democracy.
  • C. Weng Wen-hao
    Weng Wen-hao was a Chinese geologist and politician who briefly served as premier of the Republic of China during the late stages of the Chinese Civil War.
  • D. Chen Po-wen
    Chen Po-wen is a film editor best known for his work on the acclaimed Taiwanese historical war drama "Seediq Bale."
  • E. Chiang Fang-liang
    Chiang Fang-liang was the Belarusian-born wife of Chiang Ching-kuo and former First Lady of the Republic of China (Taiwan).
  • 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc602ed87c8190ab772e5cbb2da68d completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf6fd3b3348190a63bfd29860cc95f completed April 3, 2026, 7:44 a.m.
Created at: March 30, 2026, 6:46 p.m.