Triple
T21606485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osip Bove |
E533187
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Osip Bove |
—
|
NE NERFINISHED |
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: Osip Bove | Statement: [Osip Bove, name, Osip Bove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osip Bove Context triple: [Osip Bove, name, Osip Bove]
-
A.
Osip Bove
chosen
Osip Bove was a prominent 19th-century Russian architect best known for helping redesign and rebuild central Moscow after the Fire of 1812, including significant work on the Kremlin and surrounding areas.
-
B.
Georg Ostrovski
Georg Ostrovski is a machine learning researcher known for his contributions to deep reinforcement learning, including work on the Rainbow DQN algorithm.
-
C.
Osip Brik
Osip Brik was a prominent Russian literary critic and theorist associated with Russian Formalism and the early Soviet avant-garde.
-
D.
Vladimir Golschmann
Vladimir Golschmann was a French-born American conductor best known for his long tenure with the Saint Louis Symphony Orchestra and his advocacy of contemporary music in the 20th century.
-
E.
Nikolai Podvoisky
Nikolai Podvoisky was a Bolshevik revolutionary and Soviet political figure who played a key role in organizing the October Revolution and early Red Army structures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e5783481909db36c388f3ae227 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.