Triple
T8822416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 黃仁勳 |
E209936
|
entity |
| Predicate | occupation |
P3
|
FINISHED |
| Object | NVIDIA執行長 |
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: NVIDIA執行長 | Statement: [黃仁勳, occupation, NVIDIA執行長]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NVIDIA執行長 Context triple: [黃仁勳, occupation, NVIDIA執行長]
-
A.
黃仁勳
黃仁勳（Jensen Huang）是一位台灣裔美國企業家與工程師，最知名為繪圖晶片與人工智慧晶片巨頭輝達（NVIDIA）的共同創辦人兼執行長。
-
B.
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.
-
C.
CEO of Intel
The CEO of Intel is the chief executive responsible for leading Intel Corporation, one of the world’s largest and most influential semiconductor and technology companies.
-
D.
Chairman of Hewlett-Packard
Chairman of Hewlett-Packard is the top executive leadership role responsible for overseeing the board and strategic direction of the Hewlett-Packard technology company.
-
E.
Pat Gelsinger
Pat Gelsinger is an American engineer and technology executive who serves as the CEO of Intel and is known for leading the company’s strategic and manufacturing turnaround efforts.
- 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.