Triple
T20453534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squid Game cast of characters |
E501714
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object |
Byeong-gi
Byeong-gi is a supporting character in the South Korean series "Squid Game," known as the doctor who secretly collaborates with corrupt guards to gain advantages in the deadly competition.
|
E1431260
|
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: Byeong-gi | Statement: [Squid Game cast of characters, hasNotableMember, Byeong-gi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byeong-gi Context triple: [Squid Game cast of characters, hasNotableMember, Byeong-gi]
-
A.
Junggyeong
Junggyeong was one of the principal capital cities of the Balhae kingdom, serving as a key political and administrative center in Northeast Asia during the early medieval period.
-
B.
Seong Ga-yeong
Seong Ga-yeong is the young daughter of protagonist Seong Gi-hun in the South Korean series "Squid Game."
-
C.
Yong-gi
Yong-gi is a Korean given name commonly used for males.
-
D.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
E.
Maeng-hee
Maeng-hee is a Korean given name, notably borne by individuals such as businessman Lee Maeng-hee.
- 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: Byeong-gi Triple: [Squid Game cast of characters, hasNotableMember, Byeong-gi]
Generated description
Byeong-gi is a supporting character in the South Korean series "Squid Game," known as the doctor who secretly collaborates with corrupt guards to gain advantages in the deadly competition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Byeong-gi Target entity description: Byeong-gi is a supporting character in the South Korean series "Squid Game," known as the doctor who secretly collaborates with corrupt guards to gain advantages in the deadly competition.
-
A.
Junggyeong
Junggyeong was one of the principal capital cities of the Balhae kingdom, serving as a key political and administrative center in Northeast Asia during the early medieval period.
-
B.
Seong Ga-yeong
Seong Ga-yeong is the young daughter of protagonist Seong Gi-hun in the South Korean series "Squid Game."
-
C.
Yong-gi
Yong-gi is a Korean given name commonly used for males.
-
D.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
E.
Maeng-hee
Maeng-hee is a Korean given name, notably borne by individuals such as businessman Lee Maeng-hee.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d039af08190827bf765b50515a8 |
completed | April 20, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08840caccc819082423d0dae166082 |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08854ba1bc8190854e106993681272 |
completed | May 16, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0886140858819088f0b09a9903dada |
completed | May 16, 2026, 2:58 p.m. |
Created at: April 16, 2026, 11:32 a.m.