Triple
T3317324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yurievichi |
E69711
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Prince Yuri
Prince Yuri was a medieval Rus' noble whose legacy gave rise to the Yurievichi princely lineage.
|
E346690
|
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: Prince Yuri | Statement: [Yurievichi, namedAfter, Prince Yuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prince Yuri Context triple: [Yurievichi, namedAfter, Prince Yuri]
-
A.
Yuri
Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
-
B.
Prince Mikasa
Prince Mikasa was a Japanese imperial prince and younger brother of Emperor Shōwa, known for his military service and later advocacy for peace and historical reflection on Japan’s wartime actions.
-
C.
Mitsuru
Mitsuru is a Japanese given name that can be used for people of any gender and is borne by various notable figures in sports, arts, and entertainment.
-
D.
Prince Esper Beloselsky-Belozersky
Prince Esper Beloselsky-Belozersky was a Russian aristocrat and statesman from the prominent Beloselsky-Belozersky noble family, known for his influence in imperial high society and patronage of grand architectural projects.
-
E.
Mamoru
Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
- 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: Prince Yuri Triple: [Yurievichi, namedAfter, Prince Yuri]
Generated description
Prince Yuri was a medieval Rus' noble whose legacy gave rise to the Yurievichi princely lineage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prince Yuri Target entity description: Prince Yuri was a medieval Rus' noble whose legacy gave rise to the Yurievichi princely lineage.
-
A.
Yuri
Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
-
B.
Prince Mikasa
Prince Mikasa was a Japanese imperial prince and younger brother of Emperor Shōwa, known for his military service and later advocacy for peace and historical reflection on Japan’s wartime actions.
-
C.
Mitsuru
Mitsuru is a Japanese given name that can be used for people of any gender and is borne by various notable figures in sports, arts, and entertainment.
-
D.
Prince Esper Beloselsky-Belozersky
Prince Esper Beloselsky-Belozersky was a Russian aristocrat and statesman from the prominent Beloselsky-Belozersky noble family, known for his influence in imperial high society and patronage of grand architectural projects.
-
E.
Mamoru
Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb113cb6c8190989b06476f6015fd |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3fd5440819092f6847e56c05ff8 |
completed | March 12, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_69b300abcbf88190bf05da60d8fb430b |
completed | March 12, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3132087888190af901e2551ef777c |
completed | March 12, 2026, 7:25 p.m. |
Created at: March 8, 2026, 3:11 p.m.