Triple
T8822363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huang |
E209935
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Huáng |
E209935
|
NE FINISHED |
How this triple was built (2 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: Huáng | Statement: [Huang, hasVariant, Huáng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huáng Context triple: [Huang, hasVariant, Huáng]
-
A.
Huang
chosen
Huang is a common Chinese surname borne by many notable individuals across business, politics, science, and the arts.
-
B.
Hua
Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
-
C.
Hui
The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
-
D.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
-
E.
Xuan
Xuan is the posthumous honorific title given to the influential Cao Wei general and statesman Sima Yi, who played a key role in the Three Kingdoms period of Chinese history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69cf893e08b0819083c2d152d0f9c263 |
completed | April 3, 2026, 9:32 a.m. |
Created at: March 30, 2026, 6:46 p.m.