Triple
T18690615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hildegard Knef |
E456986
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Für mich soll’s rote Rosen regnen |
—
|
NE NERFINISHED |
How this triple was built (3 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: Für mich soll’s rote Rosen regnen | Statement: [Hildegard Knef, notableWork, Für mich soll’s rote Rosen regnen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Für mich soll’s rote Rosen regnen Context triple: [Hildegard Knef, notableWork, Für mich soll’s rote Rosen regnen]
-
A.
Blumenstück
Blumenstück is a lyrical piano piece in D-flat major, Op. 19, by Robert Schumann, noted for its delicate, song-like character.
-
B.
Aus meinen Tränen sprießen
"Aus meinen Tränen sprießen" is a short, lyrical song for voice and piano from Robert Schumann’s song cycle Dichterliebe, Op. 48, setting a love poem by Heinrich Heine.
-
C.
Buy Me a Rose
"Buy Me a Rose" is a country song most famously recorded by Kenny Rogers, known for its tender narrative about love expressed through small, everyday gestures.
-
D.
Roses in the Snow
Roses in the Snow is a 1980 bluegrass-influenced country album by Emmylou Harris that showcases her traditional roots and harmony-rich arrangements.
-
E.
The Rose Blooms
The Rose Blooms is the English title of the traditional Ladino (Judeo-Spanish) folk song "La Rosa Enflorece," known for its haunting melody and themes of love and longing.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Für mich soll’s rote Rosen regnen Target entity description: Für mich soll’s rote Rosen regnen is a famous German chanson, interpreted and popularized by Hildegard Knef, that has become a classic of German-language music.
-
A.
Blumenstück
Blumenstück is a lyrical piano piece in D-flat major, Op. 19, by Robert Schumann, noted for its delicate, song-like character.
-
B.
Aus meinen Tränen sprießen
"Aus meinen Tränen sprießen" is a short, lyrical song for voice and piano from Robert Schumann’s song cycle Dichterliebe, Op. 48, setting a love poem by Heinrich Heine.
-
C.
Buy Me a Rose
"Buy Me a Rose" is a country song most famously recorded by Kenny Rogers, known for its tender narrative about love expressed through small, everyday gestures.
-
D.
Roses in the Snow
Roses in the Snow is a 1980 bluegrass-influenced country album by Emmylou Harris that showcases her traditional roots and harmony-rich arrangements.
-
E.
The Rose Blooms
The Rose Blooms is the English title of the traditional Ladino (Judeo-Spanish) folk song "La Rosa Enflorece," known for its haunting melody and themes of love and longing.
- F. None of above. chosen
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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e28e5c8190b0033c1667d50e05 |
completed | April 19, 2026, 11:18 p.m. |
Created at: April 10, 2026, 11:49 a.m.