Triple
T17024583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Drama Academy |
E413029
|
entity |
| Predicate | student |
P7251
|
FINISHED |
| Object |
Yuen Mo
Yuen Mo is a martial artist and performer trained at the renowned China Drama Academy, known for producing many of Hong Kong’s top action and opera stars.
|
E1245686
|
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: Yuen Mo | Statement: [China Drama Academy, student, Yuen Mo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuen Mo Context triple: [China Drama Academy, student, Yuen Mo]
-
A.
Nai Leng
Nai Leng is an actor known for his role in the film "Chang: A Drama of the Wilderness."
-
B.
Chuk Yuen
Chuk Yuen is a residential area in Hong Kong known for its public housing estates and proximity to the Wong Tai Sin Temple.
-
C.
Hung Sin Nui
Hung Sin Nui was a renowned Cantonese opera diva and film actress, celebrated as one of the most iconic performers in the history of Cantonese opera.
-
D.
Kwai Chung
Kwai Chung is a major industrial and residential area in Hong Kong best known for its large container terminals and logistics facilities that form a core part of the city’s port operations.
-
E.
Kar-ying
Kar-ying is the given name of Law Kar-ying, a veteran Hong Kong actor and Cantonese opera performer known for his roles in film and television.
- 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: Yuen Mo Triple: [China Drama Academy, student, Yuen Mo]
Generated description
Yuen Mo is a martial artist and performer trained at the renowned China Drama Academy, known for producing many of Hong Kong’s top action and opera stars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuen Mo Target entity description: Yuen Mo is a martial artist and performer trained at the renowned China Drama Academy, known for producing many of Hong Kong’s top action and opera stars.
-
A.
Nai Leng
Nai Leng is an actor known for his role in the film "Chang: A Drama of the Wilderness."
-
B.
Chuk Yuen
Chuk Yuen is a residential area in Hong Kong known for its public housing estates and proximity to the Wong Tai Sin Temple.
-
C.
Hung Sin Nui
Hung Sin Nui was a renowned Cantonese opera diva and film actress, celebrated as one of the most iconic performers in the history of Cantonese opera.
-
D.
Kwai Chung
Kwai Chung is a major industrial and residential area in Hong Kong best known for its large container terminals and logistics facilities that form a core part of the city’s port operations.
-
E.
Kar-ying
Kar-ying is the given name of Law Kar-ying, a veteran Hong Kong actor and Cantonese opera performer known for his roles in film and television.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d371148190a60d32a72abec09a |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b514de481909c78c17a3014b468 |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011c021e1c819098e04b1cbaf33ecd |
completed | May 11, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a011c8afb608190b51c7a4c9ccaa0a5 |
completed | May 11, 2026, 12:02 a.m. |
Created at: April 10, 2026, 5:33 a.m.