Triple
T19529469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samguk Sagi |
E488620
|
entity |
| Predicate | compiler |
P3924
|
FINISHED |
| Object |
Kim Busik
Kim Busik was a 12th-century Korean historian and scholar-official of the Goryeo dynasty, best known for authoring the seminal historical chronicle of Korea’s Three Kingdoms.
|
E1381407
|
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: Kim Busik | Statement: [Samguk Sagi, compiler, Kim Busik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Busik Context triple: [Samguk Sagi, compiler, Kim Busik]
-
A.
Kim Krizan
Kim Krizan is an American writer and actress best known for co-writing the dialogue-rich romantic films in Richard Linklater’s "Before" trilogy.
-
B.
Stevie Janowski
Stevie Janowski is a socially awkward but fiercely loyal band teacher and sidekick to Kenny Powers in the dark comedy TV series "Eastbound & Down."
-
C.
Jamie Muhoberac
Jamie Muhoberac is an American session keyboardist and composer known for his extensive studio work with major rock and pop artists.
-
D.
Stef Kalinski
Stef Kalinski is a fictional character appearing in the Proxima universe.
-
E.
Kim Zmeskal
Kim Zmeskal is an American artistic gymnast and former world all-around champion who became one of the sport’s leading figures in the early 1990s.
- 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: Kim Busik Triple: [Samguk Sagi, compiler, Kim Busik]
Generated description
Kim Busik was a 12th-century Korean historian and scholar-official of the Goryeo dynasty, best known for authoring the seminal historical chronicle of Korea’s Three Kingdoms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Busik Target entity description: Kim Busik was a 12th-century Korean historian and scholar-official of the Goryeo dynasty, best known for authoring the seminal historical chronicle of Korea’s Three Kingdoms.
-
A.
Kim Krizan
Kim Krizan is an American writer and actress best known for co-writing the dialogue-rich romantic films in Richard Linklater’s "Before" trilogy.
-
B.
Stevie Janowski
Stevie Janowski is a socially awkward but fiercely loyal band teacher and sidekick to Kenny Powers in the dark comedy TV series "Eastbound & Down."
-
C.
Jamie Muhoberac
Jamie Muhoberac is an American session keyboardist and composer known for his extensive studio work with major rock and pop artists.
-
D.
Stef Kalinski
Stef Kalinski is a fictional character appearing in the Proxima universe.
-
E.
Kim Zmeskal
Kim Zmeskal is an American artistic gymnast and former world all-around champion who became one of the sport’s leading figures in the early 1990s.
- 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.