Triple
T14878705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Born Chinese |
E349936
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Chin Han
Chin Han is a Singaporean actor known for his roles in major Hollywood films and television series, including The Dark Knight and Contagion.
|
E402940
|
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: Chin Han | Statement: [American Born Chinese, starring, Chin Han]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chin Han Context triple: [American Born Chinese, starring, Chin Han]
-
A.
Chin Han
Chin Han is a Singaporean actor known for his roles in major Hollywood films such as The Dark Knight, Contagion, and Skyscraper.
-
B.
Son Kee-chung
Son Kee-chung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing under the Japanese name Son Kitei during Japan’s colonial rule over Korea.
-
C.
Chin Yang
Chin Yang is the given name of C. Y. Lee, a Chinese-American author best known for his novel "The Flower Drum Song."
-
D.
Chan Kong-sang
Chan Kong-sang is the birth name of Jackie Chan, the internationally renowned Hong Kong martial artist, actor, stuntman, and filmmaker.
-
E.
Yun Chi Chung
Yun Chi Chung is best known as the former wife of American comedian and actor Redd Foxx.
- 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: Chin Han Triple: [American Born Chinese, starring, Chin Han]
Generated description
Chin Han is a Singaporean actor known for his roles in major Hollywood films and television series, including The Dark Knight and Contagion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chin Han Target entity description: Chin Han is a Singaporean actor known for his roles in major Hollywood films and television series, including The Dark Knight and Contagion.
-
A.
Chin Han
chosen
Chin Han is a Singaporean actor known for his roles in major Hollywood films such as The Dark Knight, Contagion, and Skyscraper.
-
B.
Son Kee-chung
Son Kee-chung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing under the Japanese name Son Kitei during Japan’s colonial rule over Korea.
-
C.
Chin Yang
Chin Yang is the given name of C. Y. Lee, a Chinese-American author best known for his novel "The Flower Drum Song."
-
D.
Chan Kong-sang
Chan Kong-sang is the birth name of Jackie Chan, the internationally renowned Hong Kong martial artist, actor, stuntman, and filmmaker.
-
E.
Yun Chi Chung
Yun Chi Chung is best known as the former wife of American comedian and actor Redd Foxx.
- F. None of above.
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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5670108190b41ef95dc318be60 |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6d3aa2f08190b02c6157c03a2ba5 |
completed | May 8, 2026, 11:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6db30e9c81908fbad7b932799a7a |
completed | May 8, 2026, 11:11 p.m. |
Created at: April 10, 2026, 1:55 a.m.