Triple
T10280505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimir Ashkenazy |
E241086
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Gorky |
E350714
|
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: Gorky | Statement: [Vladimir Ashkenazy, placeOfBirth, Gorky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gorky Context triple: [Vladimir Ashkenazy, placeOfBirth, Gorky]
-
A.
Gorky
chosen
Gorky is the former name of the Russian city of Nizhny Novgorod, historically known as a closed city in the Soviet era and a site of internal exile for dissidents.
-
B.
Maksim Gorky
Maksim Gorky was a seminal Russian and Soviet writer, socialist realist pioneer, and political activist whose works and public life profoundly influenced 20th-century Russian literature and culture.
-
C.
Rozhdestvensky
Rozhdestvensky is a Russian surname most notably associated with figures such as conductor Gennady Rozhdestvensky.
-
D.
Nikolai Ostrovsky
Nikolai Ostrovsky was a Soviet writer best known for his socialist realist novel "How the Steel Was Tempered," which became a classic of communist literature.
-
E.
Zakhar Moglin
Zakhar Moglin was the husband of Zinaida Volkova, the daughter of Russian revolutionary Leon Trotsky.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a0c90c8190ad6ee479a32e5a95 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f82f16688190b1c6b80e424bd552 |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:38 a.m.