Triple
T16904369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koo Cha-kyung |
E424520
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | 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: Cha-kyung | Statement: [Koo Cha-kyung, givenName, Cha-kyung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cha-kyung Context triple: [Koo Cha-kyung, givenName, Cha-kyung]
-
A.
Kun-hee
Kun-hee is the given name of Lee Kun-hee, the influential South Korean businessman who transformed Samsung into a global technology leader.
-
B.
Ju-Hee
Ju-Hee is the child of Ji-Yoon Kim, likely a member of a Korean family.
-
C.
Ji-yeong
Ji-yeong is a tragic supporting character in the Netflix series "Squid Game," known for her poignant friendship with Kang Sae-byeok and her self-sacrificial choice during the marbles game.
-
D.
Han Mi-nyeo
Han Mi-nyeo is a loud, manipulative, and opportunistic contestant in the South Korean survival drama series "Squid Game," known for her volatile alliances and dramatic personality.
-
E.
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.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8df454c8190898ebdd75985e51c |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc002fac81908b7628d2add1e2dd |
completed | May 10, 2026, 7:26 p.m. |
Created at: April 10, 2026, 5:30 a.m.