Triple
T5982116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vo |
E133143
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
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.
|
E591953
|
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 Quốc Thắng | Statement: [Vo, hasNotableBearer, Võ Quốc Thắng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Võ Quốc Thắng Context triple: [Vo, hasNotableBearer, Võ Quốc Thắng]
-
A.
Võ Hồng Phúc
Võ Hồng Phúc is a Vietnamese politician who served as Vietnam’s Minister of Planning and Investment.
-
B.
Võ Chí Công
Võ Chí Công was a prominent Vietnamese revolutionary and politician who served as Chairman of the State Council (head of state) of Vietnam from 1987 to 1992.
-
C.
Võ Văn Hoàn
Võ Văn Hoàn is a Vietnamese politician who has served as a vice chairman of the Ho Chi Minh City People's Committee.
-
D.
Võ Huy Toàn
Võ Huy Toàn is a Vietnamese professional footballer known for playing as a winger and representing Vietnam at the international level.
-
E.
Ngo Thanh Van
Ngo Thanh Van is a Vietnamese actress, model, and film producer best known internationally for her roles in action films such as "The Rebel" and "Star Wars: The Last Jedi."
- 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 Quốc Thắng Triple: [Vo, hasNotableBearer, Võ Quốc Thắng]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Võ Quốc Thắng Target entity description: 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.
-
A.
Võ Hồng Phúc
Võ Hồng Phúc is a Vietnamese politician who served as Vietnam’s Minister of Planning and Investment.
-
B.
Võ Chí Công
Võ Chí Công was a prominent Vietnamese revolutionary and politician who served as Chairman of the State Council (head of state) of Vietnam from 1987 to 1992.
-
C.
Võ Văn Hoàn
Võ Văn Hoàn is a Vietnamese politician who has served as a vice chairman of the Ho Chi Minh City People's Committee.
-
D.
Võ Huy Toàn
Võ Huy Toàn is a Vietnamese professional footballer known for playing as a winger and representing Vietnam at the international level.
-
E.
Ngo Thanh Van
Ngo Thanh Van is a Vietnamese actress, model, and film producer best known internationally for her roles in action films such as "The Rebel" and "Star Wars: The Last Jedi."
- 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_69c6409a1b588190a963b0f6944ba22c |
completed | March 27, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69c64142633c819094c3bbdabd8f7951 |
completed | March 27, 2026, 8:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c641c3d3188190bcf6bede4c90dc9d |
completed | March 27, 2026, 8:37 a.m. |
Created at: March 22, 2026, 4:04 p.m.