Triple
T17595421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La sconosciuta |
E428556
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Kseniya Rappoport |
—
|
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: Kseniya Rappoport | Statement: [La sconosciuta, stars, Kseniya Rappoport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kseniya Rappoport Context triple: [La sconosciuta, stars, Kseniya Rappoport]
-
A.
Ksenia Rappoport
chosen
Ksenia Rappoport is a Russian actress acclaimed for her work in both Russian and Italian cinema, including award-winning performances in dramatic roles.
-
B.
Rufina Gurevich
Rufina Gurevich is a mathematician known for her work in areas influenced by Lev Pontryagin’s contributions to topology and control theory.
-
C.
Tatiana Groshkova
Tatiana Groshkova is a former Soviet artistic gymnast known for her powerful tumbling and contributions to the dominant Soviet women’s gymnastics program in the late 1980s.
-
D.
Vera Kostrovitskaya
Vera Kostrovitskaya was a prominent Russian ballet dancer and teacher associated with the classical St. Petersburg ballet tradition.
-
E.
Ludmila Bragina
Ludmila Bragina is a former Soviet middle-distance runner best known for winning Olympic gold and setting multiple world records in the 1500 metres in the early 1970s.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ead59c8190a06519311891af3c |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.