Triple
T14372014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Maeng-hee |
E356379
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Maeng-hee
Maeng-hee is a Korean given name, notably borne by individuals such as businessman Lee Maeng-hee.
|
E1095367
|
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: Maeng-hee | Statement: [Lee Maeng-hee, givenName, Maeng-hee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maeng-hee Context triple: [Lee Maeng-hee, givenName, Maeng-hee]
-
A.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
B.
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.
-
C.
Seong Ga-yeong
Seong Ga-yeong is the young daughter of protagonist Seong Gi-hun in the South Korean series "Squid Game."
-
D.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
-
E.
Jeong Seon
Jeong Seon was a prominent Korean painter of the Joseon dynasty, renowned for pioneering a distinctive style of true-view landscape painting based on actual Korean scenery.
- 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: Maeng-hee Triple: [Lee Maeng-hee, givenName, Maeng-hee]
Generated description
Maeng-hee is a Korean given name, notably borne by individuals such as businessman Lee Maeng-hee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maeng-hee Target entity description: Maeng-hee is a Korean given name, notably borne by individuals such as businessman Lee Maeng-hee.
-
A.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
B.
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.
-
C.
Seong Ga-yeong
Seong Ga-yeong is the young daughter of protagonist Seong Gi-hun in the South Korean series "Squid Game."
-
D.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
-
E.
Jeong Seon
Jeong Seon was a prominent Korean painter of the Joseon dynasty, renowned for pioneering a distinctive style of true-view landscape painting based on actual Korean scenery.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb2082c8190b42cc5f2bab4f574 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5363a081909681b54c1d8218dc |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4e795948819097c43e30902f1654 |
completed | May 8, 2026, 2:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4f04d7ec819095b64d4811440166 |
completed | May 8, 2026, 2:48 a.m. |
Created at: April 10, 2026, 1:15 a.m.