Triple
T5381984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 陳士駿 |
E113105
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 陳士駿 |
E113105
|
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: 陳士駿 | Statement: [陳士駿, nativeName, 陳士駿]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 陳士駿 Context triple: [陳士駿, nativeName, 陳士駿]
-
A.
陳士駿
chosen
陳士駿 is a Taiwanese-American internet entrepreneur best known as a co-founder of the video-sharing platform YouTube.
-
B.
陳德霖
陳德霖 is a Hong Kong banker and civil servant best known for serving as Chief Executive of the Hong Kong Monetary Authority.
-
C.
朱立倫
朱立倫 is a Taiwanese politician who has served as New Taipei City Mayor and Chairman of the Kuomintang (KMT).
-
D.
Huang Jen-hsun
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.
-
E.
Chang Yung-fa
Chang Yung-fa was a Taiwanese shipping magnate and philanthropist best known as the billionaire founder of the Evergreen Group conglomerate.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86d163f88190939638d44fcb24a7 |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf294cb9288190ab1400dae18332de |
completed | March 21, 2026, 11:27 p.m. |
Created at: March 20, 2026, 2:03 p.m.