Triple
T17508044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleksandr Grin |
E426374
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Slobodskoy |
—
|
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: Slobodskoy | Statement: [Aleksandr Grin, placeOfBirth, Slobodskoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slobodskoy Context triple: [Aleksandr Grin, placeOfBirth, Slobodskoy]
-
A.
Slobodskoy
chosen
Slobodskoy is a historic town in Kirov Oblast, Russia, known as the birthplace of the writer Alexander Grin.
-
B.
Baraniev
Baraniev is the original family surname of American screenwriter and film producer Sy Bartlett, reflecting his Eastern European heritage.
-
C.
Firsov
Firsov is a Russian surname most notably associated with Anatoli Firsov, a legendary Soviet ice hockey forward.
-
D.
Vyshnegradsky
Vyshnegradsky is a Russian surname most notably associated with Ivan Vyshnegradsky, a prominent 19th-century Russian statesman and Minister of Finance.
-
E.
Strezhevoy
Strezhevoy is a small oil-industry city in western Siberia, Russia, located on the Ob River.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525985f881909a5ad28b30762680 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.