Triple
T15629876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marfa Sobakina |
E375782
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sobakina
Sobakina is a Russian surname most notably borne by Marfa Sobakina, the third wife of Ivan the Terrible and Tsaritsa of Russia.
|
E1168829
|
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: Sobakina | Statement: [Marfa Sobakina, familyName, Sobakina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sobakina Context triple: [Marfa Sobakina, familyName, Sobakina]
-
A.
Kugu
Kugu is an Aboriginal Australian language group traditionally associated with the Aurukun region of western Cape York Peninsula in Queensland.
-
B.
Hachiun
Hachiun was one of the lesser-known sons of the Mongol chieftain Yesügei and a younger brother of Genghis Khan in 12th-century Mongolia.
-
C.
Kotek
Kotek is the surname of Tina Kotek, an American politician who has served as Governor of Oregon and previously as Speaker of the Oregon House of Representatives.
-
D.
Kotu
Kotu is a coastal suburb in the Gambia known for its beach resorts and tourism along the Atlantic shoreline.
-
E.
Kotu
Kotu is a small inhabited island in the Haʻapai group of the Kingdom of Tonga, known for its traditional Tongan village life and remote, low-lying coral landscape.
- 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: Sobakina Triple: [Marfa Sobakina, familyName, Sobakina]
Generated description
Sobakina is a Russian surname most notably borne by Marfa Sobakina, the third wife of Ivan the Terrible and Tsaritsa of Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sobakina Target entity description: Sobakina is a Russian surname most notably borne by Marfa Sobakina, the third wife of Ivan the Terrible and Tsaritsa of Russia.
-
A.
Kugu
Kugu is an Aboriginal Australian language group traditionally associated with the Aurukun region of western Cape York Peninsula in Queensland.
-
B.
Hachiun
Hachiun was one of the lesser-known sons of the Mongol chieftain Yesügei and a younger brother of Genghis Khan in 12th-century Mongolia.
-
C.
Kotek
Kotek is the surname of Tina Kotek, an American politician who has served as Governor of Oregon and previously as Speaker of the Oregon House of Representatives.
-
D.
Kotu
Kotu is a coastal suburb in the Gambia known for its beach resorts and tourism along the Atlantic shoreline.
-
E.
Kotu
Kotu is a small inhabited island in the Haʻapai group of the Kingdom of Tonga, known for its traditional Tongan village life and remote, low-lying coral landscape.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb536348190b93ed3c178d1ffb8 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f44f0b881909ce36823e4314799 |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff636c481881909e76e1f0b5c8dbce |
completed | May 9, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff640112988190843c0739c8e1dc45 |
completed | May 9, 2026, 4:42 p.m. |
Created at: April 10, 2026, 4:14 a.m.