Triple
T13013109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosalyn Tureck |
E322472
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Rosalyn Tureck |
E322472
|
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: Rosalyn Tureck | Statement: [Rosalyn Tureck, fullName, Rosalyn Tureck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosalyn Tureck Context triple: [Rosalyn Tureck, fullName, Rosalyn Tureck]
-
A.
Rosalyn Tureck
chosen
Rosalyn Tureck was an American pianist and harpsichordist renowned for her pioneering, intellectually rigorous interpretations of Johann Sebastian Bach’s keyboard works.
-
B.
Evelyn Meltzer
Evelyn Meltzer is an individual notable enough to be recognized as a prominent bearer of the surname Meltzer.
-
C.
Ruth Weinstein
Ruth Weinstein is one of the children of disgraced American film producer Harvey Weinstein.
-
D.
Sylvia Rosen
Sylvia Rosen is a neighbor and love interest of Don Draper in the television series "Mad Men," known for their clandestine affair and its impact on his personal life.
-
E.
Margaret Shenberg
Margaret Shenberg was the first wife of influential Hollywood film producer and studio executive Louis B. Mayer.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecbb8f4819094d55eb07cb5ad97 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7941e0560819080eee43a9ed0e1bb |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 9, 2026, 8:49 p.m.