Triple
T12148862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Game of Death |
E289399
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Peter Cheung
Peter Cheung is a film editor best known for his work on martial arts movies, including Bruce Lee’s posthumously released film "Game of Death."
|
E969675
|
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: Peter Cheung | Statement: [Game of Death, editedBy, Peter Cheung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Cheung Context triple: [Game of Death, editedBy, Peter Cheung]
-
A.
Peter Kwong
Peter Kwong is an American character actor best known for his roles in genre films and television, including cult favorites from the 1980s and 1990s.
-
B.
Jim Cheung
Jim Cheung is a British comic book artist best known for his detailed, dynamic work on major Marvel titles such as Young Avengers and various large-scale crossover events.
-
C.
Peter Chan
Peter Chan is an illustrator and concept artist best known for his influential visual design work on classic LucasArts adventure games.
-
D.
Chow Cheung-fai
Chow Cheung-fai is a Hong Kong figure known primarily as an alumnus of the prestigious Queen's College secondary school.
-
E.
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.
- 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: Peter Cheung Triple: [Game of Death, editedBy, Peter Cheung]
Generated description
Peter Cheung is a film editor best known for his work on martial arts movies, including Bruce Lee’s posthumously released film "Game of Death."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Cheung Target entity description: Peter Cheung is a film editor best known for his work on martial arts movies, including Bruce Lee’s posthumously released film "Game of Death."
-
A.
Peter Kwong
Peter Kwong is an American character actor best known for his roles in genre films and television, including cult favorites from the 1980s and 1990s.
-
B.
Jim Cheung
Jim Cheung is a British comic book artist best known for his detailed, dynamic work on major Marvel titles such as Young Avengers and various large-scale crossover events.
-
C.
Peter Chan
Peter Chan is an illustrator and concept artist best known for his influential visual design work on classic LucasArts adventure games.
-
D.
Chow Cheung-fai
Chow Cheung-fai is a Hong Kong figure known primarily as an alumnus of the prestigious Queen's College secondary school.
-
E.
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.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ad6ef08190b334a97d6ab41487 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a7e24ac819083e85fb8edb2ed2c |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bdb39f48190ad6bc51db6c34163 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60d4c30448190874f253b864ef61e |
completed | May 2, 2026, 2:42 p.m. |
Created at: April 8, 2026, 9:49 p.m.