Triple
T8822428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 黃仁勳 |
E209936
|
entity |
| Predicate | coFounderWith |
P2835
|
FINISHED |
| Object | Chris Malachowsky |
E154114
|
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: Chris Malachowsky | Statement: [黃仁勳, coFounderWith, Chris Malachowsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Malachowsky Context triple: [黃仁勳, coFounderWith, Chris Malachowsky]
-
A.
Chris Malachowsky
chosen
Chris Malachowsky is an American engineer and entrepreneur best known as a co-founder of NVIDIA, a leading technology company in graphics processing and AI computing.
-
B.
David Kajganich
David Kajganich is an American screenwriter and producer known for his work on atmospheric horror and thriller projects such as the TV series "The Terror" and the film "Suspiria."
-
C.
Chris Applebaum
Chris Applebaum is an American music video director known for creating high-profile videos for major pop and rock artists.
-
D.
Mike Morasky
Mike Morasky is an American composer and sound designer best known for creating the distinctive electronic and atmospheric scores for Valve video games such as Portal 2, Team Fortress 2, and Left 4 Dead.
-
E.
Mark Czyzewski
Mark Czyzewski is an editor known for his work on the film "Greyhound."
- 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_69d09b3a8a248190aa32981bdcbe570d |
completed | April 4, 2026, 5:01 a.m. |
Created at: March 30, 2026, 6:46 p.m.