Triple
T22702737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Võ Hồng Phúc |
E561365
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Võ
Võ is a common Vietnamese surname shared by many notable figures in politics, military history, arts, and sports.
|
E1550103
|
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 | Statement: [Võ Hồng Phúc, familyName, Võ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Võ Context triple: [Võ Hồng Phúc, familyName, Võ]
-
A.
Vovin
Vovin is a surname most notably associated with Alexander Vovin, a prominent linguist and specialist in East Asian historical languages.
-
B.
Van Dinh
Van Dinh is a small town in northern Vietnam that serves as the administrative and commercial center of Ung Hoa District in Hanoi.
-
C.
Duong Dong
Duong Dong is the main town and commercial center of Phu Quoc Island in Vietnam, known for its bustling markets, beaches, and role as the island’s primary hub for tourism and services.
-
D.
Vuong
Vuong is the family name of Ocean Vuong, a Vietnamese American poet, novelist, and essayist known for his lyrical and emotionally resonant writing.
-
E.
Ba-Vi
Ba-Vi is an entity known primarily by this single name, with no widely documented additional context or attributes.
- 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 Triple: [Võ Hồng Phúc, familyName, Võ]
Generated description
Võ is a common Vietnamese surname shared by many notable figures in politics, military history, arts, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Võ Target entity description: Võ is a common Vietnamese surname shared by many notable figures in politics, military history, arts, and sports.
-
A.
Vovin
Vovin is a surname most notably associated with Alexander Vovin, a prominent linguist and specialist in East Asian historical languages.
-
B.
Van Dinh
Van Dinh is a small town in northern Vietnam that serves as the administrative and commercial center of Ung Hoa District in Hanoi.
-
C.
Duong Dong
Duong Dong is the main town and commercial center of Phu Quoc Island in Vietnam, known for its bustling markets, beaches, and role as the island’s primary hub for tourism and services.
-
D.
Vuong
Vuong is the family name of Ocean Vuong, a Vietnamese American poet, novelist, and essayist known for his lyrical and emotionally resonant writing.
-
E.
Ba-Vi
Ba-Vi is an entity known primarily by this single name, with no widely documented additional context or attributes.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cbf5788190bc8cd1bc71a861e5 |
completed | April 29, 2026, 3:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7ed40b5c8190a2ac99d215de0c31 |
completed | May 18, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_6a0b7f9ccb00819092fe5e9d71f545e4 |
completed | May 18, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b806b4e1481909babc97a8914947a |
completed | May 18, 2026, 9:11 p.m. |
Created at: April 17, 2026, 3:16 p.m.