Triple
T19183187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Yang of Sui |
E469629
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Yang |
—
|
NE NERFINISHED |
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: Yang | Statement: [Emperor Yang of Sui, familyName, Yang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yang Context triple: [Emperor Yang of Sui, familyName, Yang]
-
A.
Yang
chosen
Yang is a common Chinese surname with deep historical roots and widespread use across Chinese-speaking communities.
-
B.
Yu
Yu is a common Chinese surname shared by many individuals across the world.
-
C.
Yu
Yu was the personal name of Emperor Daizong, a ruler of China's Tang dynasty in the 8th century.
-
D.
Ying
Ying was the principal political and cultural center of the ancient Chinese State of Chu during the Zhou dynasty period.
-
E.
Yong
Yong was the courtesy name of Emperor Wen of Sui, the founding ruler of China’s Sui dynasty who reunified the country after centuries of division.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61e1c248190ba9e220c1be61ef8 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.