Triple
T20142466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jumong |
E491209
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Yuhwa |
—
|
NE NERFINISHED |
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: Yuhwa | Statement: [Jumong, mother, Yuhwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuhwa Context triple: [Jumong, mother, Yuhwa]
-
A.
Yongdam Yusa
Yongdam Yusa is a key scripture of the Donghak (Eastern Learning) movement, compiling the teachings, songs, and revelations of its founder Choe Je-u.
-
B.
Ungnyeo
chosen
Ungnyeo is a bear from Korean mythology who, after enduring a divine trial and transforming into a woman, became the ancestral mother of the Korean nation.
-
C.
Yo-jong
Yo-jong is a North Korean political figure best known as the influential sister of leader Kim Jong-un and a senior official in the ruling Workers’ Party of Korea.
-
D.
Dukho Yeon
Dukho Yeon is a leading architect and key design partner at Richard Meier & Partners, known for contributing to the firm’s prominent modernist projects worldwide.
-
E.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679bcf2c8190ac6e969178d8acde |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.