Triple
T20646129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Worthies |
E507359
|
entity |
| Predicate | significantFigure |
P428
|
FINISHED |
| Object |
Ha Wi-ji
Ha Wi-ji was a prominent Joseon Dynasty scholar-official associated with the royal research institution known as the Hall of Worthies.
|
E1442607
|
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: Ha Wi-ji | Statement: [Hall of Worthies, significantFigure, Ha Wi-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ha Wi-ji Context triple: [Hall of Worthies, significantFigure, Ha Wi-ji]
-
A.
Hwangje
Hwangje is the Korean imperial title corresponding to the Chinese sovereign known as the Yellow Emperor (Huangdi).
-
B.
Huaiji
Huaiji is a county in Guangdong Province, China, known historically as the ancestral home of the Yang clan.
-
C.
Hongshi
Hongshi was an era name used during the Later Yan dynasty in ancient China, marking a specific reign period in its imperial chronology.
-
D.
Houcong
Houcong is the given name of Zhu Houcong, better known as the Jiajing Emperor of China’s Ming dynasty.
-
E.
Yi Ti
Yi Ti is a vast, wealthy, and ancient eastern empire in the world of A Song of Ice and Fire, renowned for its opulence, elaborate courts, and rich history that rivals Valyria in age and grandeur.
- 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: Ha Wi-ji Triple: [Hall of Worthies, significantFigure, Ha Wi-ji]
Generated description
Ha Wi-ji was a prominent Joseon Dynasty scholar-official associated with the royal research institution known as the Hall of Worthies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ha Wi-ji Target entity description: Ha Wi-ji was a prominent Joseon Dynasty scholar-official associated with the royal research institution known as the Hall of Worthies.
-
A.
Hwangje
Hwangje is the Korean imperial title corresponding to the Chinese sovereign known as the Yellow Emperor (Huangdi).
-
B.
Huaiji
Huaiji is a county in Guangdong Province, China, known historically as the ancestral home of the Yang clan.
-
C.
Hongshi
Hongshi was an era name used during the Later Yan dynasty in ancient China, marking a specific reign period in its imperial chronology.
-
D.
Houcong
Houcong is the given name of Zhu Houcong, better known as the Jiajing Emperor of China’s Ming dynasty.
-
E.
Yi Ti
Yi Ti is a vast, wealthy, and ancient eastern empire in the world of A Song of Ice and Fire, renowned for its opulence, elaborate courts, and rich history that rivals Valyria in age and grandeur.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1eee9c81908fd3b4fe8c4529c8 |
completed | April 20, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c58e9b0081908fd2c4f3d8022401 |
completed | May 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a08c65993408190859c75fb65ade257 |
completed | May 16, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c78fe4d48190a7a69f65f64ac66c |
completed | May 16, 2026, 7:37 p.m. |
Created at: April 16, 2026, 11:43 a.m.