Triple
T6949905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Lee-Chin |
E160892
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lee-Chin
Lee-Chin is the surname of Jamaican-Canadian billionaire businessman and philanthropist Michael Lee-Chin.
|
E630381
|
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: Lee-Chin | Statement: [Michael Lee-Chin, familyName, Lee-Chin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee-Chin Context triple: [Michael Lee-Chin, familyName, Lee-Chin]
-
A.
Htee Khee
Htee Khee is a border town in Myanmar that serves as a key crossing and trade gateway with neighboring Thailand.
-
B.
May Chin
May Chin is a Taiwanese actress best known internationally for her role in Ang Lee’s acclaimed 1993 film "The Wedding Banquet."
-
C.
Sook Ching
Sook Ching was a World War II mass purge and massacre carried out by the Japanese military against the Chinese population in Singapore and parts of Malaya in 1942.
-
D.
Soo Beng Kiang
Soo Beng Kiang is a former Malaysian badminton player best known as a top men's doubles specialist in the 1990s.
-
E.
Fong Lim
Fong Lim is an electoral division in the Northern Territory of Australia, represented in the Northern Territory Legislative Assembly.
- 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: Lee-Chin Triple: [Michael Lee-Chin, familyName, Lee-Chin]
Generated description
Lee-Chin is the surname of Jamaican-Canadian billionaire businessman and philanthropist Michael Lee-Chin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lee-Chin Target entity description: Lee-Chin is the surname of Jamaican-Canadian billionaire businessman and philanthropist Michael Lee-Chin.
-
A.
Htee Khee
Htee Khee is a border town in Myanmar that serves as a key crossing and trade gateway with neighboring Thailand.
-
B.
May Chin
May Chin is a Taiwanese actress best known internationally for her role in Ang Lee’s acclaimed 1993 film "The Wedding Banquet."
-
C.
Sook Ching
Sook Ching was a World War II mass purge and massacre carried out by the Japanese military against the Chinese population in Singapore and parts of Malaya in 1942.
-
D.
Soo Beng Kiang
Soo Beng Kiang is a former Malaysian badminton player best known as a top men's doubles specialist in the 1990s.
-
E.
Fong Lim
Fong Lim is an electoral division in the Northern Territory of Australia, represented in the Northern Territory Legislative Assembly.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daaeb66c8190a62b32a2c22f166a |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75874ffcc81908f31ff03e13cb5b0 |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c758ee37dc8190810e44d11c744ac7 |
completed | March 28, 2026, 4:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c759a99b2c8190986ce5bc36502975 |
completed | March 28, 2026, 4:31 a.m. |
Created at: March 27, 2026, 2:29 p.m.