Triple
T10072914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jascha Brodsky |
E213672
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Aaron Rosand |
E825679
|
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: Aaron Rosand | Statement: [Jascha Brodsky, notableStudent, Aaron Rosand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Rosand Context triple: [Jascha Brodsky, notableStudent, Aaron Rosand]
-
A.
Aaron Rosand
chosen
Aaron Rosand was an American violinist renowned for his Romantic repertoire, rich tone, and influential teaching career at the Curtis Institute of Music.
-
B.
Marc Roskin
Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
-
C.
Eric Tannenbaum
Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
-
D.
Aaron Mendelsohn
Aaron Mendelsohn is an American screenwriter best known for co-writing the family sports film "Air Bud" and working extensively in film and television.
-
E.
Michael Aronov
Michael Aronov is an American actor known for his work in film, television, and theater, including a role in the historical drama "Operation Finale."
- 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_69dbd9073c948190aa2e9e6b7ffe9022 |
completed | April 12, 2026, 5:40 p.m. |
Created at: March 30, 2026, 8:59 p.m.