Triple
T14832431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alekseyev |
E348740
|
entity |
| Predicate | feminineForm |
P17779
|
FINISHED |
| Object | Alekseyeva |
E893380
|
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: Alekseyeva | Statement: [Alekseyev, feminineForm, Alekseyeva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alekseyeva Context triple: [Alekseyev, feminineForm, Alekseyeva]
-
A.
Alexeyeva
chosen
Alexeyeva is a Russian surname most notably borne by Lyudmila Alexeyeva, a prominent Soviet-era dissident and human rights activist.
-
B.
Lukyanova
Lukyanova is a Russian feminine surname derived from the masculine form Lukyanov.
-
C.
Vasilyeva
Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
-
D.
Khodchenkova
Khodchenkova is the surname of Russian actress Svetlana Khodchenkova, known for her work in both Russian cinema and international films.
-
E.
Zaitseva
Zaitseva is a common Russian feminine surname derived from the masculine form Zaitsev.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded075af0881908fb35a9e7ee46749 |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a393988190837fdca148f4058c |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:52 a.m.