Triple
T10710448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irma Raush |
E252519
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Irma Raush |
E252519
|
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: Irma Raush | Statement: [Irma Raush, name, Irma Raush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irma Raush Context triple: [Irma Raush, name, Irma Raush]
-
A.
Irma Raush
chosen
Irma Raush is a Russian actress and film director best known for her work in Soviet cinema and her collaborations with Andrei Tarkovsky.
-
B.
Ida Rauh
Ida Rauh was an American feminist, actress, lawyer, and co-founder of the radical Greenwich Village arts and political collective known as the Provincetown Players.
-
C.
Ruth Wenger
Ruth Wenger was a Swiss singer and writer best known for her brief marriage to Nobel Prize–winning author Hermann Hesse.
-
D.
Alma Kruger
Alma Kruger was an American stage and film actress best known for her character roles in Hollywood movies of the 1930s and 1940s.
-
E.
Dorothy Herzka
Dorothy Herzka is an American art professional best known as the wife and longtime partner of pop artist Roy Lichtenstein, with whom she was deeply involved in the contemporary art world.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe515b1081909532a20b61ff6cf0 |
completed | April 9, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9990f220081909dae41bcec8b4768 |
completed | April 11, 2026, 12:42 a.m. |
Created at: April 8, 2026, 9:13 p.m.