Triple
T14357765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Jung-geun |
E356014
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Ahn Jung-geun
Ahn Jung-geun was a Korean independence activist best known for assassinating Japanese statesman Itō Hirobumi in 1909 in resistance to Japan’s colonial rule over Korea.
|
E1096977
|
NE FINISHED |
How this triple was built (4 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: Ahn Jung-geun | Statement: [An Jung-geun, name, Ahn Jung-geun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahn Jung-geun Context triple: [An Jung-geun, name, Ahn Jung-geun]
-
A.
Suh Yun-bok
Suh Yun-bok was a South Korean long-distance runner best known for winning the 1947 Boston Marathon and later serving as a symbolic sports figure in Korea.
-
B.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
-
C.
Won In-choul
Won In-choul is a South Korean Air Force general who served as the country’s Chairman of the Joint Chiefs of Staff.
-
D.
Kim Gae-nam
Kim Gae-nam was a prominent Korean peasant leader who played a central role in organizing and directing the Donghak Peasant Rebellion of 1894 against the Joseon government and foreign influence.
-
E.
Kim Gae-nam
Kim Gae-nam is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ahn Jung-geun Triple: [An Jung-geun, name, Ahn Jung-geun]
Generated description
Ahn Jung-geun was a Korean independence activist best known for assassinating Japanese statesman Itō Hirobumi in 1909 in resistance to Japan’s colonial rule over Korea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ahn Jung-geun Target entity description: Ahn Jung-geun was a Korean independence activist best known for assassinating Japanese statesman Itō Hirobumi in 1909 in resistance to Japan’s colonial rule over Korea.
-
A.
Suh Yun-bok
Suh Yun-bok was a South Korean long-distance runner best known for winning the 1947 Boston Marathon and later serving as a symbolic sports figure in Korea.
-
B.
Jung Jang-seon
Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
-
C.
Won In-choul
Won In-choul is a South Korean Air Force general who served as the country’s Chairman of the Joint Chiefs of Staff.
-
D.
Kim Gae-nam
Kim Gae-nam was a prominent Korean peasant leader who played a central role in organizing and directing the Donghak Peasant Rebellion of 1894 against the Joseon government and foreign influence.
-
E.
Kim Gae-nam
Kim Gae-nam is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
- F. None of above. chosen
Provenance (5 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550ca6b88190b76cd486bdd66fdf |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd56844d7c8190906b6550fb1c28d5 |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5731c9188190bda2958bef87dfe2 |
completed | May 8, 2026, 3:23 a.m. |
Created at: April 10, 2026, 1:15 a.m.