Triple
T4459737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special ID |
E98221
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Ronald Cheng
Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
|
E444350
|
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: Ronald Cheng | Statement: [Special ID, hasCastMember, Ronald Cheng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronald Cheng Context triple: [Special ID, hasCastMember, Ronald Cheng]
-
A.
Gerald Chan
Gerald Chan is a Hong Kong-born American billionaire investor and philanthropist known for major donations to Harvard University and leadership of the Morningside Group.
-
B.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
C.
Stephen Wong
Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
-
D.
Norman Chan
Norman Chan is a Hong Kong banker and civil servant best known for serving as Chief Executive of the Hong Kong Monetary Authority.
-
E.
Victor Wong
Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
- 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: Ronald Cheng Triple: [Special ID, hasCastMember, Ronald Cheng]
Generated description
Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ronald Cheng Target entity description: Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
-
A.
Gerald Chan
Gerald Chan is a Hong Kong-born American billionaire investor and philanthropist known for major donations to Harvard University and leadership of the Morningside Group.
-
B.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
C.
Stephen Wong
Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
-
D.
Norman Chan
Norman Chan is a Hong Kong banker and civil servant best known for serving as Chief Executive of the Hong Kong Monetary Authority.
-
E.
Victor Wong
Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567184f481908a2787e4ac9bb345 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6511439c08190965afc1107ae24f4 |
completed | March 15, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_69b65232b91881909e60ecdfcc763bde |
completed | March 15, 2026, 6:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b652b524008190859390cce9829097 |
completed | March 15, 2026, 6:33 a.m. |
Created at: March 12, 2026, 11:33 p.m.