Triple
T8822362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huang |
E209935
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Hoang
Hoang is a Vietnamese given name and surname, often romanized from the Chinese surname Huang and widely used in Vietnam and among the Vietnamese diaspora.
|
E758250
|
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: Hoang | Statement: [Huang, hasVariant, Hoang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoang Context triple: [Huang, hasVariant, Hoang]
-
A.
Hoan
Hoan is a surname most notably associated with Daniel Hoan, a long-serving Socialist mayor of Milwaukee in the early 20th century.
-
B.
Huan
Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
-
C.
Hien
Hien is the Japanese nickname for the World War II-era Kawasaki Ki-61 fighter aircraft, known for its inline engine and distinctive performance compared to other Japanese fighters.
-
D.
Huating
Huating is a historical town that once served as the name and administrative center of what is now Shanghai’s Songjiang District.
-
E.
Ho Trai
Ho Trai is the ornate scripture library building within Wat Phra Singh in Chiang Mai, traditionally used to house and protect sacred Buddhist texts.
- 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: Hoang Triple: [Huang, hasVariant, Hoang]
Generated description
Hoang is a Vietnamese given name and surname, often romanized from the Chinese surname Huang and widely used in Vietnam and among the Vietnamese diaspora.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoang Target entity description: Hoang is a Vietnamese given name and surname, often romanized from the Chinese surname Huang and widely used in Vietnam and among the Vietnamese diaspora.
-
A.
Hoan
Hoan is a surname most notably associated with Daniel Hoan, a long-serving Socialist mayor of Milwaukee in the early 20th century.
-
B.
Huan
Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
-
C.
Hien
Hien is the Japanese nickname for the World War II-era Kawasaki Ki-61 fighter aircraft, known for its inline engine and distinctive performance compared to other Japanese fighters.
-
D.
Huating
Huating is a historical town that once served as the name and administrative center of what is now Shanghai’s Songjiang District.
-
E.
Ho Trai
Ho Trai is the ornate scripture library building within Wat Phra Singh in Chiang Mai, traditionally used to house and protect sacred Buddhist texts.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc602ed87c8190ab772e5cbb2da68d |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6fd3b3348190a63bfd29860cc95f |
completed | April 3, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69cf70c981808190856827fbcd4c4671 |
completed | April 3, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf71914ec48190bd623d8d773e7ca7 |
completed | April 3, 2026, 7:51 a.m. |
Created at: March 30, 2026, 6:46 p.m.