Triple
T22847148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Võ Phiến |
E566253
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Võ Phiến |
—
|
NE NERFINISHED |
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: Võ Phiến | Statement: [Võ Phiến, name, Võ Phiến]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Võ Phiến Context triple: [Võ Phiến, name, Võ Phiến]
-
A.
Võ Phiến
chosen
Võ Phiến was a prominent Vietnamese writer and essayist known for his reflective prose and contributions to modern Vietnamese literature, particularly in exile.
-
B.
Võ Tòng Xuân
Võ Tòng Xuân is a prominent Vietnamese agronomist and educator renowned for his contributions to rice cultivation and agricultural development in Vietnam.
-
C.
Ngo Kien Huy
Ngo Kien Huy is a Vietnamese pop singer, actor, and television host known for his energetic performances and appearances in popular entertainment shows.
-
D.
Võ Hồng Phúc
Võ Hồng Phúc is a Vietnamese politician who served as Vietnam’s Minister of Planning and Investment.
-
E.
Tô Lâm
Tô Lâm is a Vietnamese politician and former Minister of Public Security who serves as the current President of Vietnam.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e88fb408190a58c91486ea65169 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.