Triple
T4130938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Chaek |
E85039
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Chaek
Chaek is a Korean given name most notably borne by Kim Chaek, a prominent North Korean military and political figure.
|
E414735
|
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: Chaek | Statement: [Kim Chaek, givenName, Chaek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaek Context triple: [Kim Chaek, givenName, Chaek]
-
A.
Chun
Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
-
B.
Honcharuk
Honcharuk is a Ukrainian surname most notably associated with Oleksiy Honcharuk, a former Prime Minister of Ukraine.
-
C.
Hankutchin
Hankutchin is an alternative name for the Hän, an Athabaskan-speaking Indigenous people of the Yukon–Alaska border region.
-
D.
Chenek
Chenek is a small highland settlement in Ethiopia’s Simien Mountains, commonly used as a base for trekking and accessing the nearby peak of Ras Dashen.
-
E.
Chang
Chang is a 1927 silent documentary-style adventure film set in the jungles of Siam, co-directed by Merian C. Cooper and Ernest B. Schoedsack, known for its depiction of human–nature conflict and elephant stampedes.
- 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: Chaek Triple: [Kim Chaek, givenName, Chaek]
Generated description
Chaek is a Korean given name most notably borne by Kim Chaek, a prominent North Korean military and political figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chaek Target entity description: Chaek is a Korean given name most notably borne by Kim Chaek, a prominent North Korean military and political figure.
-
A.
Chun
Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
-
B.
Honcharuk
Honcharuk is a Ukrainian surname most notably associated with Oleksiy Honcharuk, a former Prime Minister of Ukraine.
-
C.
Hankutchin
Hankutchin is an alternative name for the Hän, an Athabaskan-speaking Indigenous people of the Yukon–Alaska border region.
-
D.
Chenek
Chenek is a small highland settlement in Ethiopia’s Simien Mountains, commonly used as a base for trekking and accessing the nearby peak of Ras Dashen.
-
E.
Chang
Chang is a 1927 silent documentary-style adventure film set in the jungles of Siam, co-directed by Merian C. Cooper and Ernest B. Schoedsack, known for its depiction of human–nature conflict and elephant stampedes.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af021f6a508190b8ac1e0d8b859f74 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c26d4c81909b8be74855cbd03f |
completed | March 14, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69b577c2b784819096d8218dd1c1478d |
completed | March 14, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5782cc448819080e306952da24ac0 |
completed | March 14, 2026, 3:01 p.m. |
Created at: March 9, 2026, 3:42 p.m.