Triple
T21869502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burning |
E539965
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Oh Jung-mi
Oh Jung-mi is a South Korean screenwriter best known for co-writing acclaimed films such as "Burning."
|
E1540583
|
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: Oh Jung-mi | Statement: [Burning, screenwriter, Oh Jung-mi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oh Jung-mi Context triple: [Burning, screenwriter, Oh Jung-mi]
-
A.
Yoon Ga-eun
Yoon Ga-eun is a South Korean film director and screenwriter known for her sensitive, realistic portrayals of children and adolescence.
-
B.
Jo Yun-ok
Jo Yun-ok is the wife of renowned Hong Kong martial artist, actor, and film director Sammo Hung.
-
C.
Kim Soo-jin
Kim Soo-jin is a South Korean film producer best known for her work on the sci-fi blockbuster "Space Sweepers."
-
D.
Won Jin-ah
Won Jin-ah is a South Korean actress known for her roles in television dramas and films, including the dark fantasy series "Hellbound."
-
E.
Min Hye-jin
Min Hye-jin is a determined and principled lawyer in the South Korean dark fantasy series "Hellbound," who challenges a powerful cult and supernatural decrees of damnation.
- 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: Oh Jung-mi Triple: [Burning, screenwriter, Oh Jung-mi]
Generated description
Oh Jung-mi is a South Korean screenwriter best known for co-writing acclaimed films such as "Burning."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oh Jung-mi Target entity description: Oh Jung-mi is a South Korean screenwriter best known for co-writing acclaimed films such as "Burning."
-
A.
Yoon Ga-eun
Yoon Ga-eun is a South Korean film director and screenwriter known for her sensitive, realistic portrayals of children and adolescence.
-
B.
Jo Yun-ok
Jo Yun-ok is the wife of renowned Hong Kong martial artist, actor, and film director Sammo Hung.
-
C.
Kim Soo-jin
Kim Soo-jin is a South Korean film producer best known for her work on the sci-fi blockbuster "Space Sweepers."
-
D.
Won Jin-ah
Won Jin-ah is a South Korean actress known for her roles in television dramas and films, including the dark fantasy series "Hellbound."
-
E.
Min Hye-jin
Min Hye-jin is a determined and principled lawyer in the South Korean dark fantasy series "Hellbound," who challenges a powerful cult and supernatural decrees of damnation.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f334362c819094af465ee57b47e6 |
completed | April 28, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b17c99b848190b9df432945b8a064 |
completed | May 18, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_6a0b18ad4f608190a6947aeb790d8be7 |
completed | May 18, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1979fe088190a06edb086d6b2b46 |
completed | May 18, 2026, 1:51 p.m. |
Created at: April 16, 2026, 6:57 p.m.