Triple
T16904368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koo Cha-kyung |
E424520
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Koo |
E409713
|
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 | Statement: [Koo Cha-kyung, familyName, Koo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koo Context triple: [Koo Cha-kyung, familyName, Koo]
-
A.
Koo
chosen
Koo is a Korean family name associated with several prominent business and cultural figures in South Korea.
-
B.
Kook
Kook is a Jewish surname most famously associated with Rabbi Abraham Isaac Kook, the first Ashkenazi Chief Rabbi of British Mandatory Palestine and a seminal figure in religious Zionist thought.
-
C.
Ko
Ko is a Japanese given-name element commonly used in female names, often carrying meanings like “child” depending on the kanji used.
-
D.
Koochy
"Koochy" is a 2000 electronic dance track by American DJ and producer Armand Van Helden, known for its heavy use of a Giorgio Moroder-inspired synth riff and its club-oriented sound.
-
E.
Kee
Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
- 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_6a00c7b47a6081909d8609c2bce96d1a |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.