Triple
T9052744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huynh Thuc Khang |
E216923
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Huynh Thuc Khang |
E216923
|
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: Huynh Thuc Khang | Statement: [Huynh Thuc Khang, name, Huynh Thuc Khang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huynh Thuc Khang Context triple: [Huynh Thuc Khang, name, Huynh Thuc Khang]
-
A.
Huynh Thuc Khang
chosen
Huynh Thuc Khang was a prominent Vietnamese nationalist intellectual, journalist, and political leader who played a key role in the early 20th-century struggle against French colonial rule.
-
B.
Eijkman
Eijkman is the surname of Christiaan Eijkman, a Dutch physician and Nobel Prize–winning physiologist known for his work on the role of vitamins in preventing beriberi.
-
C.
Kao
Kao is a Chinese surname borne by numerous individuals, including notable figures in science, business, and the arts.
-
D.
Kao
Kao is a volcanic island in the Haʻapai group of Tonga, notable for being one of the country's highest and most prominent volcanic peaks.
-
E.
Pham Hung
Pham Hung was a Vietnamese communist revolutionary and politician who served as Prime Minister of Vietnam in the late 1980s.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a71a9d88190949ef9dc6816d6ab |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebd1450c819092dccae2c48b100d |
completed | April 3, 2026, 4:33 p.m. |
Created at: March 30, 2026, 7:10 p.m.