Triple
T403831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ban Ki-moon |
E9341
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 반기문 |
E9341
|
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: 반기문 | Statement: [Ban Ki-moon, nativeName, 반기문]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 반기문 Context triple: [Ban Ki-moon, nativeName, 반기문]
-
A.
Ban Ki-moon
chosen
Ban Ki-moon is a South Korean diplomat who served as the eighth Secretary-General of the United Nations from 2007 to 2016.
-
B.
Kofi Annan
Kofi Annan was a Ghanaian diplomat who served as Secretary-General of the United Nations from 1997 to 2006 and was a co-recipient of the 2001 Nobel Peace Prize.
-
C.
John Kim
John Kim is a prominent mechanical engineer and researcher renowned for his pioneering work in computational fluid dynamics and turbulence modeling.
-
D.
Kim Man-il
Kim Man-il was the younger son of North Korean leader Kim Il Sung, who died in childhood and is remembered primarily within the context of the ruling Kim family’s history.
-
E.
Kim Yong-il
Kim Yong-il is a North Korean politician and technocrat who served as the country's Premier from 2007 to 2010.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eca226fc81909d6ccc38a637daa6 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4239ffb5c819091b96dbe38a06d07 |
completed | March 1, 2026, 11:31 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.