Triple
T16592489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vyacheslav Kebich |
E403124
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kebich
Kebich is a Belarusian surname most notably borne by Vyacheslav Kebich, the first Prime Minister of independent Belarus.
|
E1224402
|
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: Kebich | Statement: [Vyacheslav Kebich, familyName, Kebich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kebich Context triple: [Vyacheslav Kebich, familyName, Kebich]
-
A.
Chivi
Chivi is a rural district and settlement in southern Zimbabwe known for its communal farming communities and semi-arid landscape within Masvingo Province.
-
B.
Kiche
Kiche is a Mayan language spoken primarily in the Guatemalan highlands by the Kʼicheʼ people, one of the largest Indigenous groups in Mesoamerica.
-
C.
Bachué
Bachué is a principal mother goddess in Muisca mythology, associated with creation, fertility, and the origin of humanity.
-
D.
Kibibi
Kibibi is a lively and energetic host character in Disney's "Festival of the Lion King" stage show at Disney theme parks.
-
E.
Benijo
Benijo is a remote black-sand beach on the northern coast of Tenerife in the Canary Islands, known for its dramatic rock formations, powerful Atlantic waves, and striking sunsets.
- 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: Kebich Triple: [Vyacheslav Kebich, familyName, Kebich]
Generated description
Kebich is a Belarusian surname most notably borne by Vyacheslav Kebich, the first Prime Minister of independent Belarus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kebich Target entity description: Kebich is a Belarusian surname most notably borne by Vyacheslav Kebich, the first Prime Minister of independent Belarus.
-
A.
Chivi
Chivi is a rural district and settlement in southern Zimbabwe known for its communal farming communities and semi-arid landscape within Masvingo Province.
-
B.
Kiche
Kiche is a Mayan language spoken primarily in the Guatemalan highlands by the Kʼicheʼ people, one of the largest Indigenous groups in Mesoamerica.
-
C.
Bachué
Bachué is a principal mother goddess in Muisca mythology, associated with creation, fertility, and the origin of humanity.
-
D.
Kibibi
Kibibi is a lively and energetic host character in Disney's "Festival of the Lion King" stage show at Disney theme parks.
-
E.
Benijo
Benijo is a remote black-sand beach on the northern coast of Tenerife in the Canary Islands, known for its dramatic rock formations, powerful Atlantic waves, and striking sunsets.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e359a123e8819095cd73cd848a3345 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007da8c5048190aaa9350f8fcc8a2e |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007eba114881909b5b6c461aca6a10 |
completed | May 10, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f53918481908d84ecf50a562266 |
completed | May 10, 2026, 12:51 p.m. |
Created at: April 10, 2026, 5:16 a.m.