Triple
T10174296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Xizong of Tang |
E235811
|
entity |
| Predicate | personalName |
P24312
|
FINISHED |
| Object | Li Yan |
E844351
|
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: Li Yan | Statement: [Emperor Xizong of Tang, personalName, Li Yan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Li Yan Context triple: [Emperor Xizong of Tang, personalName, Li Yan]
-
A.
Li Yan
chosen
Li Yan, better known by his temple name Emperor Wuzong of Tang, was a ninth-century Chinese emperor of the Tang dynasty noted for his vigorous but short-lived reign and his persecution of Buddhism.
-
B.
Liu Ye
Liu Ye is a Chinese actor known for his versatile performances in both commercial blockbusters and critically acclaimed films.
-
C.
He Yan
He Yan was a prominent third-century Chinese philosopher and scholar-official of the Wei dynasty, best known as a leading figure of Xuanxue (Neo-Daoism) and for his influential commentarial work on the Confucian classics.
-
D.
Di Xin
Di Xin was the last ruler of China's Shang dynasty, historically portrayed as a tyrannical and decadent king whose misrule led to the dynasty's downfall.
-
E.
Zhu Yawen
Zhu Yawen is a Chinese actor known for his roles in film and television dramas, particularly in military and historical series.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdeca0dc508190916f2a1bbb288192 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3178844c48190af952ac30a4d6d97 |
completed | April 6, 2026, 2:16 a.m. |
Created at: March 30, 2026, 9:11 p.m.