Triple
T10072909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jascha Brodsky |
E213672
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Ida Kavafian |
E213673
|
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: Ida Kavafian | Statement: [Jascha Brodsky, notableStudent, Ida Kavafian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ida Kavafian Context triple: [Jascha Brodsky, notableStudent, Ida Kavafian]
-
A.
Ida Kavafian
chosen
Ida Kavafian is an Armenian-American violinist and violist renowned for her chamber music performances, recordings, and long-standing role as a distinguished music educator.
-
B.
Edna Anhalt
Edna Anhalt was an American screenwriter best known for co-writing the Oscar-winning screenplay for the film "Panic in the Streets."
-
C.
Ida Rohatyn
Ida Rohatyn is an actress known for her role in the romantic comedy film "Maggie’s Plan."
-
D.
Ana Khesarian
Ana Khesarian is a central fictional character in the 2016 historical drama film "The Promise," which is set during the final years of the Ottoman Empire and the Armenian Genocide.
-
E.
Nona Balakian
Nona Balakian was an influential American literary critic and longtime editor at The New York Times Book Review, known for championing contemporary fiction and criticism.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd013c9d0819091ebe6fc399832de |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29ab376488190bfb3efdb3f240cca |
completed | April 5, 2026, 5:24 p.m. |
Created at: March 30, 2026, 8:59 p.m.