Triple
T20790780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Seong of Baekje |
E511769
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Myeongnong
Myeongnong was the birth name of King Seong, a prominent 6th-century ruler of the Korean kingdom of Baekje known for his cultural and diplomatic achievements.
|
E1489868
|
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: Myeongnong | Statement: [King Seong of Baekje, birthName, Myeongnong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myeongnong Context triple: [King Seong of Baekje, birthName, Myeongnong]
-
A.
Myeong-bok
Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
-
B.
Myeon
Myeon is a type of rural township-level administrative division used in South Korea.
-
C.
Dongjum
Dongjum is a small village in the province of Friesland in the northern Netherlands, known for its rural character and traditional Frisian landscape.
-
D.
Dongmyeong
Dongmyeong is another name for Jumong, the legendary founder and first king of the ancient Korean kingdom of Goguryeo.
-
E.
Seochon
Seochon is a historic neighborhood in central Seoul known for its traditional hanok houses, narrow alleyways, and vibrant mix of old Korean culture and modern cafes and galleries.
- 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: Myeongnong Triple: [King Seong of Baekje, birthName, Myeongnong]
Generated description
Myeongnong was the birth name of King Seong, a prominent 6th-century ruler of the Korean kingdom of Baekje known for his cultural and diplomatic achievements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Myeongnong Target entity description: Myeongnong was the birth name of King Seong, a prominent 6th-century ruler of the Korean kingdom of Baekje known for his cultural and diplomatic achievements.
-
A.
Myeong-bok
Myeong-bok is the given name of Gojong, the 26th king of the Joseon dynasty and first emperor of the Korean Empire.
-
B.
Myeon
Myeon is a type of rural township-level administrative division used in South Korea.
-
C.
Dongjum
Dongjum is a small village in the province of Friesland in the northern Netherlands, known for its rural character and traditional Frisian landscape.
-
D.
Dongmyeong
Dongmyeong is another name for Jumong, the legendary founder and first king of the ancient Korean kingdom of Goguryeo.
-
E.
Seochon
Seochon is a historic neighborhood in central Seoul known for its traditional hanok houses, narrow alleyways, and vibrant mix of old Korean culture and modern cafes and galleries.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c29010508190bf2cf577d7f64754 |
completed | April 21, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09eec761288190903bf3d4f02908f2 |
completed | May 17, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a09efd967d481909c9e0bc1c3f18f4a |
completed | May 17, 2026, 4:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f06905108190b77d5bd95f261f3b |
completed | May 17, 2026, 4:44 p.m. |
Created at: April 16, 2026, 12:38 p.m.