Triple
T4268873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wong |
E96890
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Huang |
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: Huang | Statement: [Wong, hasVariant, Huang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huang Context triple: [Wong, hasVariant, Huang]
-
A.
Huang
chosen
Huang is a common Chinese surname borne by many notable individuals across business, politics, science, and the arts.
-
B.
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.
-
C.
Huang Hai
Huang Hai is the Chinese name for the Yellow Sea, a marginal sea of the western Pacific Ocean located between mainland China and the Korean Peninsula.
-
D.
Huangjian
Huangjian was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
-
E.
Shuheng
Shuheng is the given name of He Shuheng, an early Chinese Communist revolutionary and political figure.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ff913608190b6ccf4a85057b07b |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b79fe8c08190b4a9e4812babc78e |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:07 p.m.