Triple
T32804825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swan Song |
E838993
|
entity |
| Predicate | numberOfSongsWithTextByLudwigRellstab |
—
|
GENERATED |
| Object | 7 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSongsWithTextByLudwigRellstab Context triple: [Swan Song, numberOfSongsWithTextByLudwigRellstab, 7]
-
A.
lyricText
Indicates that one entity is the lyrical content or words of a song or musical piece associated with another entity.
-
B.
commonlySungStanzas
Indicates that certain stanzas of a song or poem are those most frequently sung or performed in practice.
-
C.
hasLyricalWritingFor
Indicates that one entity provides or is characterized by lyrical or poetic writing created for another entity.
-
D.
lyricReference
Indicates that one entity (typically a work or text) contains or makes a reference to the lyrics of another entity.
-
E.
numberOfSongs
Indicates the quantity of songs associated with a given entity.
- F. None of above. chosen
Provenance (1 batch)
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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:15 a.m.