Triple
T17748956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing Film Academy |
E443063
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object |
Huang Xiaoming
Huang Xiaoming is a prominent Chinese actor, singer, and producer known for his leading roles in popular television dramas and films.
|
E1288534
|
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: Huang Xiaoming | Statement: [Beijing Film Academy, hasAlumnus, Huang Xiaoming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huang Xiaoming Context triple: [Beijing Film Academy, hasAlumnus, Huang Xiaoming]
-
A.
Lu Han
Lu Han was a prominent Chinese Nationalist general and warlord who controlled Yunnan province during the Republican era and played a key role in the Second Sino-Japanese War.
-
B.
Haifan Lin
Haifan Lin is a prominent stem cell and developmental biologist known for his pioneering research on germline stem cells and RNA regulation.
-
C.
Lu Wei
Lu Wei is a Chinese screenwriter known for his work on acclaimed films such as "Wolf Totem."
-
D.
Chang Chen
Chang Chen is a Taiwanese actor known for his roles in acclaimed films such as "Crouching Tiger, Hidden Dragon," "Happy Together," and various international productions.
-
E.
Feng Shaofeng
Feng Shaofeng is a Chinese actor known for his prominent roles in film and television, including the historical drama "Palace" and various high-profile period and fantasy productions.
- 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: Huang Xiaoming Triple: [Beijing Film Academy, hasAlumnus, Huang Xiaoming]
Generated description
Huang Xiaoming is a prominent Chinese actor, singer, and producer known for his leading roles in popular television dramas and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huang Xiaoming Target entity description: Huang Xiaoming is a prominent Chinese actor, singer, and producer known for his leading roles in popular television dramas and films.
-
A.
Lu Han
Lu Han was a prominent Chinese Nationalist general and warlord who controlled Yunnan province during the Republican era and played a key role in the Second Sino-Japanese War.
-
B.
Haifan Lin
Haifan Lin is a prominent stem cell and developmental biologist known for his pioneering research on germline stem cells and RNA regulation.
-
C.
Lu Wei
Lu Wei is a Chinese screenwriter known for his work on acclaimed films such as "Wolf Totem."
-
D.
Chang Chen
Chang Chen is a Taiwanese actor known for his roles in acclaimed films such as "Crouching Tiger, Hidden Dragon," "Happy Together," and various international productions.
-
E.
Feng Shaofeng
Feng Shaofeng is a Chinese actor known for his prominent roles in film and television, including the historical drama "Palace" and various high-profile period and fantasy productions.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad46a50819089c87f74efe3c7ca |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f82c6b6c81909864f273f85056ba |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02f9584ca08190b00efcd333c35864 |
completed | May 12, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02fadc5d4481908f7e7139a83c02bc |
completed | May 12, 2026, 10:03 a.m. |
Created at: April 10, 2026, 10:10 a.m.