Triple
T16620734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minh Mạng |
E403818
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Trần Thị Đang
Trần Thị Đang was a consort of Emperor Gia Long of Vietnam and the mother of Emperor Minh Mạng of the Nguyễn dynasty.
|
E1225014
|
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: Trần Thị Đang | Statement: [Minh Mạng, mother, Trần Thị Đang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trần Thị Đang Context triple: [Minh Mạng, mother, Trần Thị Đang]
-
A.
Lê Thị Nham
Lê Thị Nham was a consort of Emperor Đồng Khánh of the Nguyễn dynasty in late 19th-century Vietnam.
-
B.
Nguyễn Thị Hoàn
Nguyễn Thị Hoàn was the mother of Emperor Gia Long, the founder of Vietnam’s Nguyễn dynasty.
-
C.
Hoang Minh Thao
Hoang Minh Thao was a prominent North Vietnamese general renowned for his strategic leadership in major campaigns during the Vietnam War.
-
D.
Bùi Thị Xuân
Bùi Thị Xuân was a renowned Vietnamese female general and national heroine who fought against the Tây Sơn dynasty’s enemies in the late 18th and early 19th centuries.
-
E.
Nguyễn Thị Mai Anh
Nguyễn Thị Mai Anh was the First Lady of South Vietnam during the presidency of her husband Nguyễn Văn Thiệu and was known for her charitable and social work.
- 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: Trần Thị Đang Triple: [Minh Mạng, mother, Trần Thị Đang]
Generated description
Trần Thị Đang was a consort of Emperor Gia Long of Vietnam and the mother of Emperor Minh Mạng of the Nguyễn dynasty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trần Thị Đang Target entity description: Trần Thị Đang was a consort of Emperor Gia Long of Vietnam and the mother of Emperor Minh Mạng of the Nguyễn dynasty.
-
A.
Lê Thị Nham
Lê Thị Nham was a consort of Emperor Đồng Khánh of the Nguyễn dynasty in late 19th-century Vietnam.
-
B.
Nguyễn Thị Hoàn
Nguyễn Thị Hoàn was the mother of Emperor Gia Long, the founder of Vietnam’s Nguyễn dynasty.
-
C.
Hoang Minh Thao
Hoang Minh Thao was a prominent North Vietnamese general renowned for his strategic leadership in major campaigns during the Vietnam War.
-
D.
Bùi Thị Xuân
Bùi Thị Xuân was a renowned Vietnamese female general and national heroine who fought against the Tây Sơn dynasty’s enemies in the late 18th and early 19th centuries.
-
E.
Nguyễn Thị Mai Anh
Nguyễn Thị Mai Anh was the First Lady of South Vietnam during the presidency of her husband Nguyễn Văn Thiệu and was known for her charitable and social work.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754d6b4c81908eab5210c386ea15 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db27f788190a3c57b7ea8a8a9c6 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007eaca31081909cc81e73af61f2f0 |
completed | May 10, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007fde282c81909c9e7b210dd6e715 |
completed | May 10, 2026, 12:53 p.m. |
Created at: April 10, 2026, 5:17 a.m.