Triple
T17687514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerhart Eisler |
E440932
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Eisler |
—
|
NE NERFINISHED |
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: Eisler | Statement: [Gerhart Eisler, familyName, Eisler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eisler Context triple: [Gerhart Eisler, familyName, Eisler]
-
A.
Eisler
chosen
Eisler is a German-language surname most notably associated with composer Hanns Eisler, known for his politically engaged music and collaborations with Bertolt Brecht.
-
B.
Eckart
Eckart is a German surname most notably associated with Dietrich Eckart, an early 20th-century nationalist writer and influential figure in the rise of Nazism.
-
C.
Estermann
Estermann is a surname most notably associated with mathematician Theodor Estermann, known for his contributions to analytic number theory.
-
D.
Waldteufel
Waldteufel is the surname of Émile Waldteufel, a 19th-century French composer renowned for his elegant waltzes and dance music.
-
E.
Johannes Kreisler
Johannes Kreisler is a fictional, eccentric musician created by E. T. A. Hoffmann, often portrayed as a tormented Romantic artist and serving as an inspiration for various musical and literary works.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e470488c4081909b747313ef97b69c |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:03 a.m.