Triple
T22003961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunt |
E543402
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Jo Seung-hee |
—
|
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: Jo Seung-hee | Statement: [Hunt, screenwriter, Jo Seung-hee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Seung-hee Context triple: [Hunt, screenwriter, Jo Seung-hee]
-
A.
Jo Sung-hee
chosen
Jo Sung-hee is a South Korean film director and screenwriter known for his work in genre-blending films and large-scale science fiction cinema.
-
B.
Cho Hae-jung
Cho Hae-jung is a South Korean actress known for her roles in television dramas and films.
-
C.
Ye Soya
Ye Soya is a character from the Korean historical drama "Jumong," known as one of Jumong's wives and the mother of his son Yuri.
-
D.
Ju-yung
Ju-yung is the given name of Chung Ju-yung, the South Korean entrepreneur who founded the Hyundai Group conglomerate.
-
E.
Han Mi-nyeo
Han Mi-nyeo is a loud, manipulative, and opportunistic contestant in the South Korean survival drama series "Squid Game," known for her volatile alliances and dramatic personality.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276cab5c8190ac1236fde7e0394a |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:20 p.m.