Triple
T22466362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bảo Long |
E555363
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Bảo Thăng
Bảo Thăng is a member of the former Vietnamese imperial family, known as a younger son of Emperor Bảo Đại and thus a younger brother of Crown Prince Bảo Long.
|
E1539617
|
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: Bảo Thăng | Statement: [Bảo Long, sibling, Bảo Thăng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bảo Thăng Context triple: [Bảo Long, sibling, Bảo Thăng]
-
A.
Bảo Thắng
Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
-
B.
Văn Thao
Văn Thao is the child of renowned Vietnamese composer and poet Văn Cao.
-
C.
Thanh An
Thanh An is a township in Vietnam that serves as the administrative center of Vinh Thanh District in Can Tho.
-
D.
Thuy Trang
Thuy Trang was a Vietnamese-American actress best known for portraying the original Yellow Ranger, Trini Kwan, on the 1990s television series Mighty Morphin Power Rangers.
-
E.
Thanhhà Lại
Thanhhà Lại is a Vietnamese American author best known for her award-winning, semi-autobiographical novel-in-verse "Inside Out & Back Again," which explores a young refugee’s experience after the Vietnam War.
- 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: Bảo Thăng Triple: [Bảo Long, sibling, Bảo Thăng]
Generated description
Bảo Thăng is a member of the former Vietnamese imperial family, known as a younger son of Emperor Bảo Đại and thus a younger brother of Crown Prince Bảo Long.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bảo Thăng Target entity description: Bảo Thăng is a member of the former Vietnamese imperial family, known as a younger son of Emperor Bảo Đại and thus a younger brother of Crown Prince Bảo Long.
-
A.
Bảo Thắng
Bảo Thắng was a Vietnamese prince, one of the sons of the last emperor of Vietnam, Bảo Đại.
-
B.
Văn Thao
Văn Thao is the child of renowned Vietnamese composer and poet Văn Cao.
-
C.
Thanh An
Thanh An is a township in Vietnam that serves as the administrative center of Vinh Thanh District in Can Tho.
-
D.
Thuy Trang
Thuy Trang was a Vietnamese-American actress best known for portraying the original Yellow Ranger, Trini Kwan, on the 1990s television series Mighty Morphin Power Rangers.
-
E.
Thanhhà Lại
Thanhhà Lại is a Vietnamese American author best known for her award-winning, semi-autobiographical novel-in-verse "Inside Out & Back Again," which explores a young refugee’s experience after the Vietnam War.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b837ec081909c4e44d37e8b2acd |
completed | April 29, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1254b6f08190923842daebe93b99 |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b14a059e4819095a3d467c469e783 |
completed | May 18, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b15696e588190a2c76b0a4af285a4 |
completed | May 18, 2026, 1:34 p.m. |
Created at: April 16, 2026, 8:48 p.m.