Triple
T10731002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ban Woo-hyun |
E253072
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Ban Ki-moon |
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: Ban Ki-moon | Statement: [Ban Woo-hyun, relative, Ban Ki-moon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ban Ki-moon Context triple: [Ban Woo-hyun, relative, Ban Ki-moon]
-
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.
Gabriele Annan
Gabriele Annan was a German-born British literary critic and editor known for her influential book reviews and contributions to major British publications.
-
D.
John Annan
John Annan is a notable individual who shares the surname associated with prominent figures such as former UN Secretary-General Kofi Annan.
-
E.
Francisco Guterres
Francisco Guterres is an East Timorese politician who served as President of Timor-Leste and is a prominent leader of the Fretilin party.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fcb1cd881909635def59ad5d19c |
completed | April 9, 2026, 2:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22a97fec8190bb97f68353c2144e |
completed | April 14, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:14 p.m.