Triple
T17069890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulan (2020 film) |
E414187
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Yoson An
Yoson An is a Macanese-New Zealand actor best known internationally for his role as Chen Honghui in Disney's live-action film "Mulan" (2020).
|
E1247422
|
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: Yoson An | Statement: [Mulan (2020 film), castMember, Yoson An]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoson An Context triple: [Mulan (2020 film), castMember, Yoson An]
-
A.
Sang-ok Shin
Sang-ok Shin was a South Korean film director known for his prolific career in Korean cinema and for having been abducted to North Korea in the 1970s to make films for the regime.
-
B.
Chinyol Yi
Chinyol Yi is an entrepreneur best known as the founder of the LA Fitness chain of health clubs.
-
C.
Yong-taek Jung
Yong-taek Jung is a notable individual recognized for bearing the Korean surname Jung.
-
D.
Jae-on Kim
Jae-on Kim is a political scientist known for his work on democratic participation and political equality.
-
E.
Kinam Kim
Kinam Kim is a prominent South Korean semiconductor executive and technologist recognized for his leadership and contributions to the global chip industry.
- 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: Yoson An Triple: [Mulan (2020 film), castMember, Yoson An]
Generated description
Yoson An is a Macanese-New Zealand actor best known internationally for his role as Chen Honghui in Disney's live-action film "Mulan" (2020).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yoson An Target entity description: Yoson An is a Macanese-New Zealand actor best known internationally for his role as Chen Honghui in Disney's live-action film "Mulan" (2020).
-
A.
Sang-ok Shin
Sang-ok Shin was a South Korean film director known for his prolific career in Korean cinema and for having been abducted to North Korea in the 1970s to make films for the regime.
-
B.
Chinyol Yi
Chinyol Yi is an entrepreneur best known as the founder of the LA Fitness chain of health clubs.
-
C.
Yong-taek Jung
Yong-taek Jung is a notable individual recognized for bearing the Korean surname Jung.
-
D.
Jae-on Kim
Jae-on Kim is a political scientist known for his work on democratic participation and political equality.
-
E.
Kinam Kim
Kinam Kim is a prominent South Korean semiconductor executive and technologist recognized for his leadership and contributions to the global chip industry.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbfb1f08190807301ff6e573cf5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01235278d48190bacc7881b9eb1ea1 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a012425fb808190ad9bcada9429e437 |
completed | May 11, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01248b53d88190a4ec4fa6cee89bb1 |
completed | May 11, 2026, 12:36 a.m. |
Created at: April 10, 2026, 5:34 a.m.