Triple
T20141176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Player 218 |
E491167
|
entity |
| Predicate | relationshipTo |
P37
|
FINISHED |
| Object | Seong Gi-hun |
—
|
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: Seong Gi-hun | Statement: [Player 218, relationshipTo, Seong Gi-hun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seong Gi-hun Context triple: [Player 218, relationshipTo, Seong Gi-hun]
-
A.
Seong Gi-hun
chosen
Seong Gi-hun is the debt-ridden, down-on-his-luck protagonist of the South Korean series "Squid Game," whose moral struggles and desperation drive the story’s deadly competition.
-
B.
Cho Choong-hoon
Cho Choong-hoon was a South Korean businessman best known as the founder of Hanjin Group, the conglomerate behind Korean Air and other major logistics and transportation businesses.
-
C.
Dong-soo
Dong-soo is a central character in the South Korean film "Broker," portrayed as a morally conflicted man involved in an illegal baby adoption scheme.
-
D.
Yong-gi
Yong-gi is a Korean given name commonly used for males.
-
E.
Sung-tae
Sung-tae is a Korean masculine given name commonly used in South Korea.
- 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.