Triple
T6372186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Platform |
E143375
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Liang Jingdong
Liang Jingdong is a Chinese actor known for his supporting roles in contemporary Chinese film and television dramas.
|
E598188
|
NE FINISHED |
How this triple was built (4 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: Liang Jingdong | Statement: [Platform, stars, Liang Jingdong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liang Jingdong Context triple: [Platform, stars, Liang Jingdong]
-
A.
Li Jingliang
Li Jingliang is a Chinese mixed martial artist and UFC welterweight known for his aggressive striking style and knockout power.
-
B.
Huang Jianxin
Huang Jianxin is a prominent Chinese filmmaker known for his socially conscious, often satirical films that explore contemporary Chinese life and politics.
-
C.
Li Dongsheng
Li Dongsheng is a prominent Chinese business executive best known as the founder and chairman of the electronics company TCL Corporation.
-
D.
Liang Xinjun
Liang Xinjun is a Chinese entrepreneur best known as a co-founder and former executive of the diversified conglomerate Fosun Group.
-
E.
Liu Jian
Liu Jian was a prominent Ming dynasty statesman and grand secretary who played a key role in government during the reign of the Hongzhi Emperor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Liang Jingdong Triple: [Platform, stars, Liang Jingdong]
Generated description
Liang Jingdong is a Chinese actor known for his supporting roles in contemporary Chinese film and television dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liang Jingdong Target entity description: Liang Jingdong is a Chinese actor known for his supporting roles in contemporary Chinese film and television dramas.
-
A.
Li Jingliang
Li Jingliang is a Chinese mixed martial artist and UFC welterweight known for his aggressive striking style and knockout power.
-
B.
Huang Jianxin
Huang Jianxin is a prominent Chinese filmmaker known for his socially conscious, often satirical films that explore contemporary Chinese life and politics.
-
C.
Li Dongsheng
Li Dongsheng is a prominent Chinese business executive best known as the founder and chairman of the electronics company TCL Corporation.
-
D.
Liang Xinjun
Liang Xinjun is a Chinese entrepreneur best known as a co-founder and former executive of the diversified conglomerate Fosun Group.
-
E.
Liu Jian
Liu Jian was a prominent Ming dynasty statesman and grand secretary who played a key role in government during the reign of the Hongzhi Emperor.
- F. None of above. chosen
Provenance (5 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06829d76c819092b476631459233a |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c669dbb0708190b0651c524a80a251 |
completed | March 27, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69c66b56e888819086c21652ed216bf9 |
completed | March 27, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c66b8314348190956604c935c648f7 |
completed | March 27, 2026, 11:35 a.m. |
Created at: March 22, 2026, 4:33 p.m.