Triple
T22092412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Dawn (2012 film) |
E545942
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Will Yun Lee |
—
|
NE NERFINISHED |
How this triple was built (2 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: Will Yun Lee | Statement: [Red Dawn (2012 film), castMember, Will Yun Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Yun Lee Context triple: [Red Dawn (2012 film), castMember, Will Yun Lee]
-
A.
Will Yun Lee
chosen
Will Yun Lee is an American actor and martial artist known for his roles in films like "Die Another Day" and "The Wolverine" and TV series such as "Altered Carbon" and "Hawaii Five-0."
-
B.
Ming Lee
Ming Lee is the strict yet loving mother of protagonist Meilin in Pixar's animated film "Turning Red," whose own emotional struggles and family legacy drive much of the story's conflict and heart.
-
C.
Poy Gum Lee
Poy Gum Lee was a Chinese-American architect known for blending modernist design with traditional Chinese elements in prominent early 20th-century projects in China and the United States.
-
D.
Yun Lee
Yun Lee is the child of Korean-American actor and martial artist Will Yun Lee.
-
E.
Thai Lee
Thai Lee is a Korean-American entrepreneur and business executive best known as the co-founder, president, and CEO of SHI International, one of the largest woman-owned technology solutions providers in the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e6b1d881909bf0f4a52199354c |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.