Triple
T9240189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matvey Manizer |
E222037
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Matvey Manizer |
E222037
|
NE FINISHED |
How this triple was built (2 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: Matvey Manizer | Statement: [Matvey Manizer, name, Matvey Manizer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matvey Manizer Context triple: [Matvey Manizer, name, Matvey Manizer]
-
A.
Matvey Manizer
chosen
Matvey Manizer was a prominent Soviet sculptor known for his monumental realist works and major public commissions across the USSR.
-
B.
Pavel Dybenko
Pavel Dybenko was a Bolshevik revolutionary and naval leader who played a prominent role in the Russian Revolution and early Soviet military affairs.
-
C.
Andrei Moskvin
Andrei Moskvin was a prominent Soviet cinematographer renowned for his influential work on classic Russian films of the early to mid-20th century.
-
D.
Pavel Kadochnikov
Pavel Kadochnikov was a prominent Soviet film and theater actor known for his leading roles in classic Russian cinema of the mid-20th century.
-
E.
Ilya Kravchunovsky
Ilya Kravchunovsky is an author best known for writing the work titled "Strike."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf0a3888c8190b72d8d0b850bdfbc |
completed | April 1, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077db03048190b9c1f0812da21733 |
completed | April 4, 2026, 2:30 a.m. |
Created at: March 30, 2026, 7:30 p.m.