Triple
T32804825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swan Song |
E838993
|
entity |
| Predicate | numberOfSongsWithTextByLudwigRellstab |
P203764
|
FINISHED |
| Object | 7 |
—
|
LITERAL 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: 7 | Statement: [Swan Song, numberOfSongsWithTextByLudwigRellstab, 7]
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 (4 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a01e993fec0819090cc397218515e88 |
completed | May 11, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_6a01e57594188190a2354f48cf71b48c |
completed | May 11, 2026, 2:19 p.m. |
| PDg | Predicate description generation | batch_6a01e9930c848190bf39a09cd0f4af2e |
completed | May 11, 2026, 2:37 p.m. |
Created at: May 1, 2026, 1:15 a.m.