Triple
T8450902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minari |
E199794
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Noel Kate Cho
Noel Kate Cho is a young actress best known for her role in the acclaimed film "Minari."
|
E737526
|
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: Noel Kate Cho | Statement: [Minari, stars, Noel Kate Cho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noel Kate Cho Context triple: [Minari, stars, Noel Kate Cho]
-
A.
Cheryl Song
Cheryl Song is an American dancer and actress best known as a featured Soul Train dancer who also appeared in the 1988 action film "Action Jackson."
-
B.
Willa Kim
Willa Kim was an acclaimed American costume designer known for her vibrant, innovative work on Broadway, ballet, and opera, earning multiple Tony Awards over her career.
-
C.
Julia Cho
Julia Cho is an American playwright and screenwriter known for her work on stage and in film, including co-writing Pixar’s animated feature "Turning Red."
-
D.
Julie Oh
Julie Oh is a film producer known for her work on projects such as the musical drama "Tick, Tick... Boom!" (2021).
-
E.
Christina Oh
Christina Oh is an American film producer best known for her work on acclaimed independent films, including the Oscar-nominated drama "Minari."
- 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: Noel Kate Cho Triple: [Minari, stars, Noel Kate Cho]
Generated description
Noel Kate Cho is a young actress best known for her role in the acclaimed film "Minari."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noel Kate Cho Target entity description: Noel Kate Cho is a young actress best known for her role in the acclaimed film "Minari."
-
A.
Cheryl Song
Cheryl Song is an American dancer and actress best known as a featured Soul Train dancer who also appeared in the 1988 action film "Action Jackson."
-
B.
Willa Kim
Willa Kim was an acclaimed American costume designer known for her vibrant, innovative work on Broadway, ballet, and opera, earning multiple Tony Awards over her career.
-
C.
Julia Cho
Julia Cho is an American playwright and screenwriter known for her work on stage and in film, including co-writing Pixar’s animated feature "Turning Red."
-
D.
Julie Oh
Julie Oh is a film producer known for her work on projects such as the musical drama "Tick, Tick... Boom!" (2021).
-
E.
Christina Oh
Christina Oh is an American film producer best known for her work on acclaimed independent films, including the Oscar-nominated drama "Minari."
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44815488190a912d63512e19af0 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39c11a488190b7775002e419eee7 |
completed | April 2, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69ce3e82e57c81909b95577bd54616ff |
completed | April 2, 2026, 10:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3ef732748190a4c0beabc1cbfad7 |
completed | April 2, 2026, 10:03 a.m. |
Created at: March 30, 2026, 6:09 p.m.