Triple
T8822420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 黃仁勳 |
E209936
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | 共同創辦NVIDIA |
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: 共同創辦NVIDIA | Statement: [黃仁勳, knownFor, 共同創辦NVIDIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 共同創辦NVIDIA Context triple: [黃仁勳, knownFor, 共同創辦NVIDIA]
-
A.
NVIDIA board of directors
The NVIDIA board of directors is the governing body that oversees the strategic direction, corporate governance, and major business decisions of NVIDIA Corporation.
-
B.
NVIDIA Corporation
NVIDIA Corporation is a leading American technology company best known for designing powerful graphics processing units (GPUs) and AI computing platforms used in gaming, data centers, and high-performance computing.
-
C.
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.
-
D.
NVIDIA GeForce GPU line
The NVIDIA GeForce GPU line is a flagship series of consumer graphics processors widely used for gaming, creative workloads, and GPU-accelerated computing.
-
E.
NVIDIA Tesla data center GPUs
NVIDIA Tesla data center GPUs are high-performance graphics processing units designed for accelerated computing workloads such as AI, machine learning, and high-performance computing in server and data center environments.
- 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.