Triple
T10233158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alla Pugacheva |
E243394
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alla Pugacheva |
E243394
|
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: Alla Pugacheva | Statement: [Alla Pugacheva, name, Alla Pugacheva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alla Pugacheva Context triple: [Alla Pugacheva, name, Alla Pugacheva]
-
A.
Alla Pugacheva
chosen
Alla Pugacheva is a legendary Russian pop singer and cultural icon whose powerful voice and emotive performances made her one of the most celebrated artists in the Soviet Union and post-Soviet space.
-
B.
Galina Brezhneva
Galina Brezhneva was a Soviet socialite and public figure best known as the controversial and flamboyant daughter of longtime Soviet leader Leonid Brezhnev.
-
C.
Galina Gagarina
Galina Gagarina is the daughter of Soviet cosmonaut Yuri Gagarin, the first human to journey into outer space.
-
D.
Galina Zmievskaya
Galina Zmievskaya is a Ukrainian figure skating coach best known for training Olympic champion Oksana Baiul and other elite skaters.
-
E.
Dasha Zhukova
Dasha Zhukova is a Russian-American art collector, philanthropist, and entrepreneur best known for founding the Garage Museum of Contemporary Art in Moscow.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d20ba5348190a5aac664645416d5 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f74c66048190a0ba1cba593cccb5 |
completed | April 9, 2026, 12:48 a.m. |
Created at: April 6, 2026, 11:20 a.m.