Triple
T2312108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peng |
E51981
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Peng Sanyuan
Peng Sanyuan is a Chinese film and television director and screenwriter best known for socially conscious dramas such as the film "Lost and Love."
|
E294143
|
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: Peng Sanyuan | Statement: [Peng, hasNotableBearer, Peng Sanyuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peng Sanyuan Context triple: [Peng, hasNotableBearer, Peng Sanyuan]
-
A.
Peng Yuchang
Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
-
B.
Peng Xiaolian
Peng Xiaolian was a prominent Chinese film director and screenwriter known for her nuanced portrayals of women's lives and Shanghai's urban culture.
-
C.
Peng Shige
Peng Shige is a prominent Chinese mathematician renowned for his foundational contributions to stochastic analysis and backward stochastic differential equations.
-
D.
Peng Huanwu
Peng Huanwu was a prominent Chinese theoretical physicist known for his contributions to nuclear and particle physics and for helping advance modern physics research in China.
-
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: Peng Sanyuan Triple: [Peng, hasNotableBearer, Peng Sanyuan]
Generated description
Peng Sanyuan is a Chinese film and television director and screenwriter best known for socially conscious dramas such as the film "Lost and Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peng Sanyuan Target entity description: Peng Sanyuan is a Chinese film and television director and screenwriter best known for socially conscious dramas such as the film "Lost and Love."
-
A.
Peng Yuchang
Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
-
B.
Peng Xiaolian
Peng Xiaolian was a prominent Chinese film director and screenwriter known for her nuanced portrayals of women's lives and Shanghai's urban culture.
-
C.
Peng Shige
Peng Shige is a prominent Chinese mathematician renowned for his foundational contributions to stochastic analysis and backward stochastic differential equations.
-
D.
Peng Huanwu
Peng Huanwu was a prominent Chinese theoretical physicist known for his contributions to nuclear and particle physics and for helping advance modern physics research in China.
-
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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc61a8e248190b5024cca9efd806d |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbaafe788190b0bbe84f26536cf0 |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbc2d10c88190a3f265843f98024b |
completed | March 10, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbc9dc9248190abd42ad9785c8605 |
completed | March 10, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:49 p.m.