Triple
T19515317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsar Bell |
E488262
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object |
Ivan Motorin
Ivan Motorin was a Russian bellfounder of the early 18th century, best known for casting some of the largest and most famous bells in Russian history.
|
E1492729
|
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: Ivan Motorin | Statement: [Tsar Bell, designedBy, Ivan Motorin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivan Motorin Context triple: [Tsar Bell, designedBy, Ivan Motorin]
-
A.
Ivan Starov
Ivan Starov was a prominent 18th-century Russian neoclassical architect known for designing major landmarks in St. Petersburg and other parts of the Russian Empire.
-
B.
Ivan Mayski
Ivan Mayski was a Soviet diplomat best known for serving as the USSR’s ambassador to the United Kingdom during the Second World War.
-
C.
Ivan Taranov
Ivan Taranov was an architect known for his work on buildings in the Novogireyevo district of Moscow.
-
D.
Ivan Kliun
Ivan Kliun was a Russian avant-garde painter and sculptor closely associated with Kazimir Malevich and the development of Suprematism in early 20th-century abstract art.
-
E.
Alexander Dvornikov
Alexander Dvornikov is a Russian Army general known for his senior command roles in Russia’s military operations in Syria and Ukraine.
- 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: Ivan Motorin Triple: [Tsar Bell, designedBy, Ivan Motorin]
Generated description
Ivan Motorin was a Russian bellfounder of the early 18th century, best known for casting some of the largest and most famous bells in Russian history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ivan Motorin Target entity description: Ivan Motorin was a Russian bellfounder of the early 18th century, best known for casting some of the largest and most famous bells in Russian history.
-
A.
Ivan Starov
Ivan Starov was a prominent 18th-century Russian neoclassical architect known for designing major landmarks in St. Petersburg and other parts of the Russian Empire.
-
B.
Ivan Mayski
Ivan Mayski was a Soviet diplomat best known for serving as the USSR’s ambassador to the United Kingdom during the Second World War.
-
C.
Ivan Taranov
Ivan Taranov was an architect known for his work on buildings in the Novogireyevo district of Moscow.
-
D.
Ivan Kliun
Ivan Kliun was a Russian avant-garde painter and sculptor closely associated with Kazimir Malevich and the development of Suprematism in early 20th-century abstract art.
-
E.
Alexander Dvornikov
Alexander Dvornikov is a Russian Army general known for his senior command roles in Russia’s military operations in Syria and Ukraine.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359b90f08190b38359dc9e97e11c |
completed | April 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09fd19b9b88190a66b02d573751343 |
completed | May 17, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a09fe995c4c8190be64a5a97f22232b |
completed | May 17, 2026, 5:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ff342bec8190870fb37ee997c166 |
completed | May 17, 2026, 5:47 p.m. |
Created at: April 10, 2026, 1:40 p.m.