Triple
T19529493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samguk Sagi |
E488620
|
entity |
| Predicate | assistantCompilers |
P3924
|
FINISHED |
| Object | Gwan Gyeong |
—
|
NE NERFINISHED |
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: Gwan Gyeong | Statement: [Samguk Sagi, assistantCompilers, Gwan Gyeong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwan Gyeong Context triple: [Samguk Sagi, assistantCompilers, Gwan Gyeong]
-
A.
Gwan-eum
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
B.
Hwangje
Hwangje is the Korean imperial title corresponding to the Chinese sovereign known as the Yellow Emperor (Huangdi).
-
C.
Yeongdodaegyo
Yeongdodaegyo is a bascule bridge in Busan, South Korea, known as the city’s first mainland–island bridge and a local historical landmark.
-
D.
Gwanaksan
Gwanaksan is a prominent mountain in the Seoul metropolitan area of South Korea, known for its hiking trails, rocky peaks, and scenic views over the surrounding cities.
-
E.
Joseongeul
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gwan Gyeong Target entity description: Gwan Gyeong was a historical Korean scholar-official known for helping compile the Samguk Sagi, one of the oldest surviving chronicles of Korea’s Three Kingdoms period.
-
A.
Gwan-eum
Gwan-eum is the Korean name for Guanyin, the bodhisattva of compassion widely revered in East Asian Buddhism.
-
B.
Hwangje
Hwangje is the Korean imperial title corresponding to the Chinese sovereign known as the Yellow Emperor (Huangdi).
-
C.
Yeongdodaegyo
Yeongdodaegyo is a bascule bridge in Busan, South Korea, known as the city’s first mainland–island bridge and a local historical landmark.
-
D.
Gwanaksan
Gwanaksan is a prominent mountain in the Seoul metropolitan area of South Korea, known for its hiking trails, rocky peaks, and scenic views over the surrounding cities.
-
E.
Joseongeul
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assistantCompilers Context triple: [Samguk Sagi, assistantCompilers, Gwan Gyeong]
-
A.
textCompiler
Indicates that one entity functions as a compiler that processes, transforms, or translates text associated with another entity.
-
B.
compilerOccupation
Indicates that one entity works as a compiler (e.g., of texts, data, or code) in relation to another entity, typically an organization, project, or work.
-
C.
compiler
chosen
Indicates that one entity serves as a compiler of another, typically transforming source material (such as code or documents) into a compiled or aggregated form.
-
D.
catalogCompiler
Indicates that an entity is responsible for compiling, assembling, or producing a catalog for another entity or collection.
-
E.
coPilotWith
Indicates that two entities jointly serve as pilots or share piloting responsibilities for the same vehicle or mission.
- F. None of above.
Provenance (3 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. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.