Triple
T16688070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shvarn Danylovych |
E405517
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Danylovych
Danylovych is a Ruthenian princely family name associated with medieval rulers of the Kingdom of Galicia–Volhynia.
|
E357535
|
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: Danylovych | Statement: [Shvarn Danylovych, familyName, Danylovych]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danylovych Context triple: [Shvarn Danylovych, familyName, Danylovych]
-
A.
Doroshenko
Doroshenko is a Ukrainian surname most notably borne by Petro Doroshenko, a 17th-century Cossack Hetman of Right-bank Ukraine.
-
B.
Dmytrii
Dmytrii is a masculine given name of Slavic origin, related to the Greek name Demetrius and commonly used in Eastern European cultures.
-
C.
Oleksy
Oleksy is a Polish surname most notably borne by Józef Oleksy, a prominent Polish politician and former Prime Minister.
-
D.
Petrushevych
Petrushevych is a Ukrainian surname most notably associated with Yevhen Petrushevych, a prominent early 20th-century Ukrainian politician and statesman.
-
E.
Roman Danylovych
Roman Danylovych was a 13th-century Ruthenian prince from the ruling dynasty of the Kingdom of Galicia–Volhynia in Eastern Europe.
- 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: Danylovych Triple: [Shvarn Danylovych, familyName, Danylovych]
Generated description
Danylovych is a Ruthenian princely family name associated with medieval rulers of the Kingdom of Galicia–Volhynia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danylovych Target entity description: Danylovych is a Ruthenian princely family name associated with medieval rulers of the Kingdom of Galicia–Volhynia.
-
A.
Doroshenko
Doroshenko is a Ukrainian surname most notably borne by Petro Doroshenko, a 17th-century Cossack Hetman of Right-bank Ukraine.
-
B.
Dmytrii
Dmytrii is a masculine given name of Slavic origin, related to the Greek name Demetrius and commonly used in Eastern European cultures.
-
C.
Oleksy
Oleksy is a Polish surname most notably borne by Józef Oleksy, a prominent Polish politician and former Prime Minister.
-
D.
Petrushevych
Petrushevych is a Ukrainian surname most notably associated with Yevhen Petrushevych, a prominent early 20th-century Ukrainian politician and statesman.
-
E.
Roman Danylovych
chosen
Roman Danylovych was a 13th-century Ruthenian prince from the ruling dynasty of the Kingdom of Galicia–Volhynia in Eastern Europe.
- F. None of above.
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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea75df481909a7ebb9b2a9d0afd |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a45af7c8190bfe09dd0e0573573 |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b41a1648190bd1c2268c8a80ee2 |
completed | May 10, 2026, 1:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008c2bcac48190801ba34fde104a8a |
completed | May 10, 2026, 1:46 p.m. |
Created at: April 10, 2026, 5:19 a.m.