Triple
T11816899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tverskaya |
E281022
|
entity |
| Predicate | hasArchitect |
P184
|
FINISHED |
| Object | Nina Aleshina |
E881717
|
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: Nina Aleshina | Statement: [Tverskaya, hasArchitect, Nina Aleshina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nina Aleshina Context triple: [Tverskaya, hasArchitect, Nina Aleshina]
-
A.
Nina Aleshina
chosen
Nina Aleshina was a Soviet architect known for designing Moscow Metro stations, including Kakhovskaya.
-
B.
Nina Zarechnaya
Nina Zarechnaya is a young, idealistic aspiring actress in Anton Chekhov’s play "The Seagull," whose romantic disillusionment and artistic struggles form one of the drama’s central emotional arcs.
-
C.
Natalia Staritskaya
Natalia Staritskaya was the wife of prominent Russian and Soviet scientist Vladimir Vernadsky, known for her role in his personal and family life.
-
D.
Tatyana Ovechkina
Tatyana Ovechkina is a former Soviet Olympic champion basketball player and the mother of NHL star Alex Ovechkin.
-
E.
Nina Grebeshkova
Nina Grebeshkova is a Soviet and Russian film and theater actress best known for her roles in classic comedies of the 1960s and 1970s.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e760988190b50d13bba5ef5b43 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63eda009481909870bd38200dd187 |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:42 p.m.