Triple
T8822401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 黃仁勳 |
E209936
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jen-Hsun Huang |
E41919
|
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 Huang | Statement: [黃仁勳, name, Jen-Hsun Huang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jen-Hsun Huang Context triple: [黃仁勳, name, Jen-Hsun Huang]
-
A.
Jensen Huang
chosen
Jensen Huang is a Taiwanese-American entrepreneur and engineer best known as the co-founder and long-time CEO of NVIDIA, a leading company in graphics processing and AI computing.
-
B.
Mark Chen
Mark Chen is an AI researcher known for co-authoring influential work on large language models alongside Tom B. Brown at OpenAI.
-
C.
Morris Chang
Morris Chang is a Taiwanese-American engineer and entrepreneur best known as the founder and longtime leader of Taiwan Semiconductor Manufacturing Company (TSMC), a pioneering and globally dominant semiconductor foundry.
-
D.
Stan Shih
Stan Shih is a Taiwanese entrepreneur and philanthropist best known as the co-founder and longtime leader of the multinational computer company Acer Inc.
-
E.
Liu Chuanzhi
Liu Chuanzhi is a Chinese entrepreneur best known as the founder and longtime leader of Lenovo, which he built into one of the world’s largest personal computer manufacturers.
- 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_69cfa05742948190bcec72a080f6837a |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:46 p.m.