Triple
T11221460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Worry Darling |
E265575
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Miri Yoon |
E265575
|
NE FINISHED |
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: Miri Yoon | Statement: [Don't Worry Darling, producer, Miri Yoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miri Yoon Context triple: [Don't Worry Darling, producer, Miri Yoon]
-
A.
Miri Yoon
chosen
Miri Yoon is a film producer known for her work on the psychological thriller "Don't Worry Darling."
-
B.
Yumi Jung
Yumi Jung is a person notable enough to be recognized as a prominent bearer of the surname Jung.
-
C.
Mia Yoo
Mia Yoo is a theatre director and arts leader best known for heading New York’s influential La MaMa Experimental Theatre Club, where she champions innovative and international performance.
-
D.
Laura Sohn
Laura Sohn is an American actress best known for her role as FBI agent Alina Park on the television series "The Blacklist."
-
E.
Da-yeon Jung
Da-yeon Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8eb84c48190b4f3bede254afde2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4977cab4481909c6b94ca07cd5e4a |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 8, 2026, 9:30 p.m.