Triple
T8621841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim family |
E204184
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Kim Kyong-hui |
E25979
|
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: Kim Kyong-hui | Statement: [Kim family, notableMember, Kim Kyong-hui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Kyong-hui Context triple: [Kim family, notableMember, Kim Kyong-hui]
-
A.
Kim Kyong-hui
chosen
Kim Kyong-hui is a North Korean politician and military official, the daughter of founding leader Kim Il Sung and a key member of the ruling Kim family.
-
B.
Kim Kyong Hui
Kim Kyong Hui is a North Korean politician and general, the daughter of founding leader Kim Il Sung and influential aunt of current leader Kim Jong Un.
-
C.
Kim Young Sook
Kim Young Sook is a North Korean woman best known as one of the wives of former North Korean leader Kim Jong Il.
-
D.
Son Mi-jong
Son Mi-jong is a South Korean athlete best known for lighting the Olympic cauldron at the 1988 Seoul Summer Games.
-
E.
Chung Ju-yung
Chung Ju-yung was a South Korean entrepreneur and industrialist who built the Hyundai conglomerate into one of the country’s largest and most influential business empires.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4717f0e88190aaf0fd45bf726941 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef349d8408190bfd90a33a2d223bb |
completed | April 2, 2026, 10:52 p.m. |
Created at: March 30, 2026, 6:26 p.m.