Triple
T22779982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Võ Huy Toàn |
E563808
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Võ Huy Toàn |
—
|
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 Huy Toàn | Statement: [Võ Huy Toàn, name, Võ Huy Toàn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Võ Huy Toàn Context triple: [Võ Huy Toàn, name, Võ Huy Toàn]
-
A.
Võ Huy Toàn
chosen
Võ Huy Toàn is a Vietnamese professional footballer known for playing as a winger and representing Vietnam at the international level.
-
B.
Võ Hồng Phúc
Võ Hồng Phúc is a Vietnamese politician who served as Vietnam’s Minister of Planning and Investment.
-
C.
Võ Quốc Thắng
Võ Quốc Thắng is a Vietnamese businessman best known as a leading figure in the domestic football scene and as chairman of Đồng Tâm Long An Football Club.
-
D.
Vo Toan
Vo Toan is a Vietnamese architect best known for designing the Mausoleum of Mohammed V in Rabat, Morocco.
-
E.
Ngo Tuan Anh
Ngo Tuan Anh is a Vietnamese individual notable enough to be recognized as a prominent bearer of the surname Ngo.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b63d348819085668e3d9ac78ffa |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.