Triple
T3000369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boris Pasternak |
E81170
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Rosa Kaufman
Rosa Kaufman was a Russian pianist and music teacher best known as the mother of Nobel Prize–winning writer Boris Pasternak.
|
E360333
|
NE FINISHED |
How this triple was built (4 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: [Boris Pasternak, mother, Rosa Kaufman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosa Kaufman Context triple: [Boris Pasternak, mother, Rosa Kaufman]
-
A.
Margot Löwenthal
Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
-
B.
Lilian Kaufmann
Lilian Kaufmann was a member of the prominent Kaufmann family of Pittsburgh, known as the original owners and patrons of Frank Lloyd Wright’s iconic Fallingwater house.
-
C.
Helene Shapiro
Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
-
D.
Elsa Löwenthal
Elsa Löwenthal, better known as Elsa Einstein, was the second wife and cousin of physicist Albert Einstein and often managed his personal and social affairs.
-
E.
Ruth Kobart
Ruth Kobart was an American character actress known for her work on stage, film, and television, including roles in Broadway productions and various TV series.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rosa Kaufman Triple: [Boris Pasternak, mother, Rosa Kaufman]
Generated description
Rosa Kaufman was a Russian pianist and music teacher best known as the mother of Nobel Prize–winning writer Boris Pasternak.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rosa Kaufman Target entity description: Rosa Kaufman was a Russian pianist and music teacher best known as the mother of Nobel Prize–winning writer Boris Pasternak.
-
A.
Margot Löwenthal
Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
-
B.
Lilian Kaufmann
Lilian Kaufmann was a member of the prominent Kaufmann family of Pittsburgh, known as the original owners and patrons of Frank Lloyd Wright’s iconic Fallingwater house.
-
C.
Helene Shapiro
Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
-
D.
Elsa Löwenthal
Elsa Löwenthal, better known as Elsa Einstein, was the second wife and cousin of physicist Albert Einstein and often managed his personal and social affairs.
-
E.
Ruth Kobart
Ruth Kobart was an American character actress known for her work on stage, film, and television, including roles in Broadway productions and various TV series.
- F. None of above. chosen
Provenance (5 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a1022e48190afee77db94635ff2 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367e2fbb8819084e01920d2a37b80 |
completed | March 13, 2026, 1:26 a.m. |
| NEDg | Description generation | batch_69b36888570c819097e801e76a4e14ac |
completed | March 13, 2026, 1:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b368f5e92c8190893929d2ed0f5c6a |
completed | March 13, 2026, 1:31 a.m. |
Created at: March 8, 2026, 2:59 p.m.