Triple
T10470107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biutiful |
E246901
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Luo Jin
Luo Jin is a Chinese actor known for his roles in popular television dramas and films.
|
E906185
|
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: Luo Jin | Statement: [Biutiful, castMember, Luo Jin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luo Jin Context triple: [Biutiful, castMember, Luo Jin]
-
A.
Luo Zhonghuo
Luo Zhonghuo was a Chinese military figure and graduate of the Yunnan Military Academy who became notable for his role in early 20th-century Chinese military and political affairs.
-
B.
He Jin
He Jin was a late Eastern Han dynasty general and regent whose struggle for power at court and role in suppressing peasant uprisings helped trigger the political chaos that led to the Three Kingdoms period.
-
C.
Liu Shu
Liu Shu was a Chinese scholar who contributed as an editor to the compilation of the historical chronicle Zizhi Tongjian.
-
D.
Luo Peijin
Luo Peijin was a Chinese military officer and notable graduate of the Yunnan Military Academy who played a role in early 20th-century Chinese military and political affairs.
-
E.
Sun Lianzhong
Sun Lianzhong was a Nationalist Chinese general noted for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
- 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: Luo Jin Triple: [Biutiful, castMember, Luo Jin]
Generated description
Luo Jin is a Chinese actor known for his roles in popular television dramas and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luo Jin Target entity description: Luo Jin is a Chinese actor known for his roles in popular television dramas and films.
-
A.
Luo Zhonghuo
Luo Zhonghuo was a Chinese military figure and graduate of the Yunnan Military Academy who became notable for his role in early 20th-century Chinese military and political affairs.
-
B.
He Jin
He Jin was a late Eastern Han dynasty general and regent whose struggle for power at court and role in suppressing peasant uprisings helped trigger the political chaos that led to the Three Kingdoms period.
-
C.
Liu Shu
Liu Shu was a Chinese scholar who contributed as an editor to the compilation of the historical chronicle Zizhi Tongjian.
-
D.
Luo Peijin
Luo Peijin was a Chinese military officer and notable graduate of the Yunnan Military Academy who played a role in early 20th-century Chinese military and political affairs.
-
E.
Sun Lianzhong
Sun Lianzhong was a Nationalist Chinese general noted for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d406e2c8190ad27f3a5276be25f |
completed | April 19, 2026, 1:17 a.m. |
| NEDg | Description generation | batch_69e4374700b881908ebb185ae020487b |
completed | April 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4399385c08190852c3cbd730a1f11 |
completed | April 19, 2026, 2:10 a.m. |
Created at: April 6, 2026, 12:20 p.m.