Triple
T19768422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseon queens |
E474818
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | jungjeon |
E470409
|
NE FINISHED |
How this triple was built (2 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: jungjeon | Statement: [Joseon queens, alsoKnownAs, jungjeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: jungjeon Context triple: [Joseon queens, alsoKnownAs, jungjeon]
-
A.
Jeongjeon
chosen
Jeongjeon is the principal ceremonial hall of Seoul’s Jongmyo Shrine, where ancestral tablets of Joseon Dynasty kings and queens are enshrined and Confucian rites are performed.
-
B.
Junggumun
Junggumun is a historical writing system used in Korea that incorporated Chinese characters to represent Korean grammatical elements and sounds.
-
C.
Joseongeul
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
-
D.
Jiphyeonjeon
Jiphyeonjeon was a royal research and advisory institute of the Joseon Dynasty, renowned as the scholarly center where King Sejong’s officials developed Hangul and advanced statecraft, science, and literature.
-
E.
kenjeong
Ken Jeong is an American comedian, actor, and former physician best known for his roles in "The Hangover" film series and the TV show "Community."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65359bb9881908f48282b63a83f2f |
completed | April 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd726d98819082ec25a5a38d57aa |
completed | May 16, 2026, 12:42 a.m. |
Created at: April 10, 2026, 1:48 p.m.