Triple
T20141156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Player 218 |
E491167
|
entity |
| Predicate | aliasOf |
P39
|
FINISHED |
| Object | Cho Sang-woo |
—
|
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: Cho Sang-woo | Statement: [Player 218, aliasOf, Cho Sang-woo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cho Sang-woo Context triple: [Player 218, aliasOf, Cho Sang-woo]
-
A.
Cho Sang-woo
chosen
Cho Sang-woo is a central character in the South Korean series "Squid Game," portrayed as a once-successful investment banker whose desperation and moral decline drive much of the show's tension and drama.
-
B.
Jeong Jin-soo
Jeong Jin-soo is the enigmatic and charismatic cult leader at the center of the South Korean dark fantasy series "Hellbound," whose prophecies about divine judgment drive the show's apocalyptic events.
-
C.
Jeong Won-oh
Jeong Won-oh is a South Korean politician who serves as the mayor of Seoul's Seongdong District.
-
D.
Jeon Bong-jun
Jeon Bong-jun was a prominent late 19th-century Korean peasant leader who spearheaded the Donghak Peasant Rebellion against corrupt officials and foreign influence in Joseon Korea.
-
E.
Jo Woo-jin
Jo Woo-jin is a South Korean actor known for his versatile supporting and character roles in films and television dramas.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679b179c8190a9511df8ed82098a |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.