Triple
T22035792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sovremennik |
E544203
|
entity |
| Predicate | originalPublisher |
P1760
|
FINISHED |
| Object | Alexander Pushkin |
—
|
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: Alexander Pushkin | Statement: [Sovremennik, originalPublisher, Alexander Pushkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Pushkin Context triple: [Sovremennik, originalPublisher, Alexander Pushkin]
-
A.
Alexander Pushkin
chosen
Alexander Pushkin was a pioneering 19th-century Russian poet, playwright, and novelist widely regarded as the founder of modern Russian literature.
-
B.
Sergey Lvovich Pushkin
Sergey Lvovich Pushkin was a Russian nobleman and landowner best known as the father of the great poet Alexander Pushkin.
-
C.
Leonid Pushkin
Leonid Pushkin is a fictional Soviet general and antagonist in the James Bond film "The Living Daylights."
-
D.
Nicholas Poushkin
Nicholas Poushkin was the husband of famed Russian ballerina Irina Baronova, known primarily in relation to her life and career.
-
E.
Pushkin
Pushkin is a town near Saint Petersburg, Russia, renowned for its imperial palaces and parks, including the famous Catherine Palace at Tsarskoye Selo.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f1f95c8190a324c84313cd91ee |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:25 p.m.