Triple
T32804827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swan Song |
E838993
|
entity |
| Predicate | numberOfSongsWithTextByJohannGabrielSeidl |
P203775
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Swan Song, numberOfSongsWithTextByJohannGabrielSeidl, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSongsWithTextByJohannGabrielSeidl Context triple: [Swan Song, numberOfSongsWithTextByJohannGabrielSeidl, 1]
-
A.
numberOfSongsWithTextByLudwigRellstab
Indicates the count of songs whose lyrics were written by Ludwig Rellstab.
-
B.
numberOfSongsWithTextByHeinrichHeine
Indicates the count of songs whose lyrics were written by Heinrich Heine.
-
C.
workNumberInSchubertCatalogue
Indicates that one entity specifies the identifying work number assigned to a composition within the Schubert catalogue for another entity.
-
D.
isMusicalWorkFor
Indicates that a musical work is created, intended, or designated for a particular entity, such as an instrument, performer, event, or context.
-
E.
composerOfSongsInterpreted
Indicates that one entity is the composer of songs that are performed or interpreted by another 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_6a01f4d954e08190aff3756955212d67 |
completed | May 11, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_6a01edadb9248190be592287530740a5 |
completed | May 11, 2026, 2:54 p.m. |
| PDg | Predicate description generation | batch_6a01f4d84fa08190be6dea78f3fa9d8c |
completed | May 11, 2026, 3:25 p.m. |
Created at: May 1, 2026, 1:15 a.m.