Triple
T19529716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Seondeok |
E488625
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Deokman
Deokman is the birth name of Queen Seondeok, the first reigning queen of the Korean kingdom of Silla and a prominent ruler in early Korean history.
|
E1381415
|
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: Deokman | Statement: [Queen Seondeok, birthName, Deokman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deokman Context triple: [Queen Seondeok, birthName, Deokman]
-
A.
Won-dong
Won-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
-
B.
Dong Maeng
Dong Maeng is a joint South Korea–United States military exercise that succeeded earlier large-scale drills as part of their combined defense posture.
-
C.
Uicheon
Uicheon was an influential Korean Buddhist monk and scholar of the Goryeo dynasty, known for promoting the Cheontae (Tiantai) school and attempting to harmonize doctrinal and meditative traditions.
-
D.
Hoeryong
Hoeryong is a city in northeastern North Korea known for its location near the Chinese border and its association with the country's political prison camp system.
-
E.
Yong-taek
Yong-taek is a Korean masculine given name commonly used in South Korea.
- 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: Deokman Triple: [Queen Seondeok, birthName, Deokman]
Generated description
Deokman is the birth name of Queen Seondeok, the first reigning queen of the Korean kingdom of Silla and a prominent ruler in early Korean history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deokman Target entity description: Deokman is the birth name of Queen Seondeok, the first reigning queen of the Korean kingdom of Silla and a prominent ruler in early Korean history.
-
A.
Won-dong
Won-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
-
B.
Dong Maeng
Dong Maeng is a joint South Korea–United States military exercise that succeeded earlier large-scale drills as part of their combined defense posture.
-
C.
Uicheon
Uicheon was an influential Korean Buddhist monk and scholar of the Goryeo dynasty, known for promoting the Cheontae (Tiantai) school and attempting to harmonize doctrinal and meditative traditions.
-
D.
Hoeryong
Hoeryong is a city in northeastern North Korea known for its location near the Chinese border and its association with the country's political prison camp system.
-
E.
Yong-taek
Yong-taek is a Korean masculine given name commonly used in South Korea.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363dfd6c8190aaa0b374184965bb |
completed | April 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e7b52d88190b0e095ce39d7a003 |
completed | May 15, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_6a074f6d79b88190a0b8442af2be0ed1 |
completed | May 15, 2026, 4:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074fed47bc8190b1a78dcc50345ca4 |
completed | May 15, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:41 p.m.