Triple
T16852804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koo family |
E409715
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Koo Cha-kyung |
E424520
|
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: Koo Cha-kyung | Statement: [Koo family, hasMember, Koo Cha-kyung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koo Cha-kyung Context triple: [Koo family, hasMember, Koo Cha-kyung]
-
A.
Koo Cha-kyung
chosen
Koo Cha-kyung was a South Korean businessman who led and expanded the LG Group as its second chairman, transforming it into a major global conglomerate.
-
B.
Ko Young-hee
Ko Young-hee was a North Korean dancer best known as the consort of leader Kim Jong Il and the mother of current leader Kim Jong Un.
-
C.
Son Ki-jung
Son Ki-jung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing for Japan under the name Son Kee-chung.
-
D.
Lee Maeng-hee
Lee Maeng-hee was a South Korean businessman best known as the eldest son of Samsung founder Lee Byung-chul and a former executive within the Samsung Group.
-
E.
Koh Hyun-jung
Koh Hyun-jung is a prominent South Korean actress and former Miss Korea runner-up, known for her acclaimed roles in television dramas and films.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37abadc81909d02d329403497d6 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfc531c881908a33de8b491842ca |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:24 a.m.