Triple
T5982114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vo |
E133143
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Võ Huy Toàn
Võ Huy Toàn is a Vietnamese professional footballer known for playing as a winger and representing Vietnam at the international level.
|
E563808
|
NE FINISHED |
How this triple was built (4 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: [Vo, hasNotableBearer, Võ Huy Toàn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Võ Huy Toàn Context triple: [Vo, hasNotableBearer, Võ Huy Toàn]
-
A.
Võ Hồng Phúc
Võ Hồng Phúc is a Vietnamese politician who served as Vietnam’s Minister of Planning and Investment.
-
B.
Vo Toan
Vo Toan is a Vietnamese architect best known for designing the Mausoleum of Mohammed V in Rabat, Morocco.
-
C.
Ngo Tuan Anh
Ngo Tuan Anh is a Vietnamese individual notable enough to be recognized as a prominent bearer of the surname Ngo.
-
D.
Nguyen Duy Trinh
Nguyen Duy Trinh was a Vietnamese revolutionary and diplomat who served as North Vietnam’s foreign minister and played a key role in international negotiations during the Vietnam War.
-
E.
Nguyen Huu An
Nguyen Huu An was a North Vietnamese general renowned for his leadership of People's Army of Vietnam forces in key battles of the Vietnam War, including early major engagements against U.S. troops.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Võ Huy Toàn Triple: [Vo, hasNotableBearer, Võ Huy Toàn]
Generated description
Võ Huy Toàn is a Vietnamese professional footballer known for playing as a winger and representing Vietnam at the international level.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Võ Huy Toàn Target entity description: Võ Huy Toàn is a Vietnamese professional footballer known for playing as a winger and representing Vietnam at the international level.
-
A.
Võ Hồng Phúc
Võ Hồng Phúc is a Vietnamese politician who served as Vietnam’s Minister of Planning and Investment.
-
B.
Vo Toan
Vo Toan is a Vietnamese architect best known for designing the Mausoleum of Mohammed V in Rabat, Morocco.
-
C.
Ngo Tuan Anh
Ngo Tuan Anh is a Vietnamese individual notable enough to be recognized as a prominent bearer of the surname Ngo.
-
D.
Nguyen Duy Trinh
Nguyen Duy Trinh was a Vietnamese revolutionary and diplomat who served as North Vietnam’s foreign minister and played a key role in international negotiations during the Vietnam War.
-
E.
Nguyen Huu An
Nguyen Huu An was a North Vietnamese general renowned for his leadership of People's Army of Vietnam forces in key battles of the Vietnam War, including early major engagements against U.S. troops.
- F. None of above. chosen
Provenance (5 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a6921b081908a6f6323d5c7a062 |
completed | March 22, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1135b94a88190a9b8a90ecc56cee8 |
completed | March 23, 2026, 10:18 a.m. |
| NEDg | Description generation | batch_69c113efd9d88190a1ee7bbed4863a11 |
completed | March 23, 2026, 10:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1146097a88190bdd0345da094607e |
completed | March 23, 2026, 10:22 a.m. |
Created at: March 22, 2026, 4:04 p.m.