Triple
T5354407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Nordau |
E102654
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Anna Dons-Kaufmann
Anna Dons-Kaufmann was the wife of physician, social critic, and Zionist leader Max Nordau, known primarily through her association with his life and work.
|
E518104
|
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: Anna Dons-Kaufmann | Statement: [Max Nordau, spouse, Anna Dons-Kaufmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Dons-Kaufmann Context triple: [Max Nordau, spouse, Anna Dons-Kaufmann]
-
A.
Daphne Kluger
Daphne Kluger is a glamorous, high-profile actress and the unsuspecting target of the jewel heist in the film "Ocean's 8."
-
B.
Elka Ostrovsky
Elka Ostrovsky is a sharp-tongued, eccentric elderly woman and main character on the sitcom "Hot in Cleveland," portrayed by Betty White.
-
C.
Eleanor Sokoloff
Eleanor Sokoloff was a renowned American pianist and long-serving pedagogue celebrated for training generations of leading pianists at the Curtis Institute of Music.
-
D.
Rosa Kaufman
Rosa Kaufman was a Russian pianist and music teacher best known as the mother of Nobel Prize–winning writer Boris Pasternak.
-
E.
Anita Goshkin
Anita Goshkin was the first wife of Nobel Prize–winning American novelist Saul Bellow.
- 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: Anna Dons-Kaufmann Triple: [Max Nordau, spouse, Anna Dons-Kaufmann]
Generated description
Anna Dons-Kaufmann was the wife of physician, social critic, and Zionist leader Max Nordau, known primarily through her association with his life and work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Dons-Kaufmann Target entity description: Anna Dons-Kaufmann was the wife of physician, social critic, and Zionist leader Max Nordau, known primarily through her association with his life and work.
-
A.
Daphne Kluger
Daphne Kluger is a glamorous, high-profile actress and the unsuspecting target of the jewel heist in the film "Ocean's 8."
-
B.
Elka Ostrovsky
Elka Ostrovsky is a sharp-tongued, eccentric elderly woman and main character on the sitcom "Hot in Cleveland," portrayed by Betty White.
-
C.
Eleanor Sokoloff
Eleanor Sokoloff was a renowned American pianist and long-serving pedagogue celebrated for training generations of leading pianists at the Curtis Institute of Music.
-
D.
Rosa Kaufman
Rosa Kaufman was a Russian pianist and music teacher best known as the mother of Nobel Prize–winning writer Boris Pasternak.
-
E.
Anita Goshkin
Anita Goshkin was the first wife of Nobel Prize–winning American novelist Saul Bellow.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd862dbb008190aef653acddafd38b |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf33395b248190a1552288a3d5213c |
completed | March 22, 2026, 12:09 a.m. |
| NEDg | Description generation | batch_69bf3738aac48190a84954b98e896208 |
completed | March 22, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf378616788190b2961ddff189e7fc |
completed | March 22, 2026, 12:27 a.m. |
Created at: March 20, 2026, 2:01 p.m.