Triple
T20861597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Mu of Baekje |
E513630
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Mu-wang
Mu-wang was a ruler of the ancient Korean kingdom of Baekje, one of the Three Kingdoms of Korea.
|
E1454235
|
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: Mu-wang | Statement: [King Mu of Baekje, alsoKnownAs, Mu-wang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mu-wang Context triple: [King Mu of Baekje, alsoKnownAs, Mu-wang]
-
A.
Matai Shang
Matai Shang is the primary antagonist in the science fiction film "John Carter," depicted as a powerful and manipulative leader of the mysterious Therns.
-
B.
Tianzi
Tianzi is the traditional Chinese title meaning "Son of Heaven," used to denote the supreme ruler and divinely sanctioned sovereign of imperial China.
-
C.
Huanwu
Huanwu is the given name of Peng Huanwu, a prominent Chinese theoretical physicist known for his contributions to nuclear and particle physics.
-
D.
Fenghao
Fenghao was the twin-city capital complex of the Western Zhou dynasty in ancient China, located near present-day Xi’an and serving as a major political and ceremonial center.
-
E.
Enlai
Enlai is the given name of Zhou Enlai, the prominent first Premier of the People's Republic of China and a key figure in Chinese Communist history.
- 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: Mu-wang Triple: [King Mu of Baekje, alsoKnownAs, Mu-wang]
Generated description
Mu-wang was a ruler of the ancient Korean kingdom of Baekje, one of the Three Kingdoms of Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mu-wang Target entity description: Mu-wang was a ruler of the ancient Korean kingdom of Baekje, one of the Three Kingdoms of Korea.
-
A.
Matai Shang
Matai Shang is the primary antagonist in the science fiction film "John Carter," depicted as a powerful and manipulative leader of the mysterious Therns.
-
B.
Tianzi
Tianzi is the traditional Chinese title meaning "Son of Heaven," used to denote the supreme ruler and divinely sanctioned sovereign of imperial China.
-
C.
Huanwu
Huanwu is the given name of Peng Huanwu, a prominent Chinese theoretical physicist known for his contributions to nuclear and particle physics.
-
D.
Fenghao
Fenghao was the twin-city capital complex of the Western Zhou dynasty in ancient China, located near present-day Xi’an and serving as a major political and ceremonial center.
-
E.
Enlai
Enlai is the given name of Zhou Enlai, the prominent first Premier of the People's Republic of China and a key figure in Chinese Communist history.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3ad3d1c8190be2fe35a85f2447c |
completed | April 21, 2026, 12:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090b0f5c088190a2db09ce9ecbfcc3 |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090bc252dc8190a96a98b2160826b5 |
completed | May 17, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090cc818b4819089ed588d3e460aa2 |
completed | May 17, 2026, 12:33 a.m. |
Created at: April 16, 2026, 12:44 p.m.