Triple
T8113284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kung Fu Panda 4 |
E189407
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Li Shan |
E714993
|
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 Shan | Statement: [Kung Fu Panda 4, character, Li Shan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Li Shan Context triple: [Kung Fu Panda 4, character, Li Shan]
-
A.
Li Shan
chosen
Li Shan is Po’s long-lost biological father and a jovial panda villager introduced in Kung Fu Panda 3.
-
B.
Meng Haoran
Meng Haoran was a renowned High Tang poet celebrated for his tranquil landscape and nature-themed verse that deeply influenced classical Chinese poetry.
-
C.
Liu Ye
Liu Ye is a Chinese actor known for his versatile performances in both commercial blockbusters and critically acclaimed films.
-
D.
Yan Xiu
Yan Xiu was a prominent early 20th-century Chinese educator and reformer who played a key role in modernizing China's education system.
-
E.
Yang Yong
Yang Yong was a prominent Chinese military general who played key roles in the Chinese Civil War and early People's Republic of China military campaigns.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432d7dfc8190b9c980f32c7b4623 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd948fcf90819090c80e1ac4ac1b0c |
completed | April 1, 2026, 9:56 p.m. |
Created at: March 30, 2026, 5:32 p.m.