Triple
T6443919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Tien Dung |
E138293
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Văn
Văn is a common Vietnamese family name used by many individuals in Vietnam and the Vietnamese diaspora.
|
E595022
|
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: Văn | Statement: [Van Tien Dung, familyName, Văn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Văn Context triple: [Van Tien Dung, familyName, Văn]
-
A.
Văn Điển
Văn Điển is a township in Hanoi, Vietnam, known as an urban and commercial hub within the Thanh Trì District.
-
B.
Văn Minh
Văn Minh is the given name of Dương Văn Minh, a South Vietnamese general and the last president of South Vietnam.
-
C.
Chữ Nôm
Chữ Nôm is a historic logographic writing system that adapted and expanded Chinese characters to represent the Vietnamese language before the widespread adoption of the Latin-based quốc ngữ script.
-
D.
VN
VN is the IATA airline designator assigned to Vietnam Airlines, the national flag carrier of Vietnam.
-
E.
Vân Đình
Vân Đình is a small urban center in Hanoi, Vietnam, known as the administrative and commercial hub of Ứng Hòa District.
- 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: Văn Triple: [Van Tien Dung, familyName, Văn]
Generated description
Văn is a common Vietnamese family name used by many individuals in Vietnam and the Vietnamese diaspora.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Văn Target entity description: Văn is a common Vietnamese family name used by many individuals in Vietnam and the Vietnamese diaspora.
-
A.
Văn Điển
Văn Điển is a township in Hanoi, Vietnam, known as an urban and commercial hub within the Thanh Trì District.
-
B.
Văn Minh
Văn Minh is the given name of Dương Văn Minh, a South Vietnamese general and the last president of South Vietnam.
-
C.
Chữ Nôm
Chữ Nôm is a historic logographic writing system that adapted and expanded Chinese characters to represent the Vietnamese language before the widespread adoption of the Latin-based quốc ngữ script.
-
D.
VN
VN is the IATA airline designator assigned to Vietnam Airlines, the national flag carrier of Vietnam.
-
E.
Vân Đình
Vân Đình is a small urban center in Hanoi, Vietnam, known as the administrative and commercial hub of Ứng Hòa District.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0698c17ec81909f6bbcbe636a67fd |
completed | March 22, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bc718dc8190b186d09a17562d26 |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64f8c3df08190986343f78e7a066a |
completed | March 27, 2026, 9:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6501b1b6481908cead1450402752b |
completed | March 27, 2026, 9:38 a.m. |
Created at: March 22, 2026, 4:46 p.m.