Triple
T13558095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonid Pasternak |
E323830
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Rosa Kaufman |
E360333
|
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: Rosa Kaufman | Statement: [Leonid Pasternak, spouse, Rosa Kaufman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosa Kaufman Context triple: [Leonid Pasternak, spouse, Rosa Kaufman]
-
A.
Rosa Kaufman
chosen
Rosa Kaufman was a Russian pianist and music teacher best known as the mother of Nobel Prize–winning writer Boris Pasternak.
-
B.
Wanda Gershwitz
Wanda Gershwitz is the seductive, cunning con artist at the center of the comedy film "A Fish Called Wanda," known for manipulating everyone around her to get her hands on stolen diamonds.
-
C.
Margot Löwenthal
Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
-
D.
Rosa Stern
Rosa Stern was the maternal grandmother of Anne Frank and the mother of Edith Holländer, belonging to a German-Jewish family.
-
E.
Tatia Rosenthal
Tatia Rosenthal is an Israeli-born film director and animator best known for her stop-motion feature "9.99$" and her work in independent animation.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff4223c8190801d153ae8f94c73 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0d759fc81908c327850a4836ecd |
completed | May 3, 2026, 9:40 p.m. |
Created at: April 9, 2026, 9:47 p.m.