Triple
T12482771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kommt, ihr Töchter, helft mir klagen |
E298352
|
entity |
| Predicate | workNumberInStMatthewPassion |
P97961
|
FINISHED |
| Object | No. 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: No. 1 | Statement: [Kommt, ihr Töchter, helft mir klagen, workNumberInStMatthewPassion, No. 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workNumberInStMatthewPassion Context triple: [Kommt, ihr Töchter, helft mir klagen, workNumberInStMatthewPassion, No. 1]
-
A.
workNumberInBWV
chosen
Indicates that a musical work is identified by a specific catalog number within the Bach-Werke-Verzeichnis (BWV) catalog.
-
B.
workNumberInMahlerSymphonies
Indicates the specific numbered position a work occupies within the sequence of Mahler’s symphonies.
-
C.
workNumberInMozartOutput
Indicates the ordinal work number assigned to a composition within the catalog of Mozart’s works.
-
D.
workNumberInComposerChamberMusic
Indicates that a specific work number is assigned to a composer's piece within their body of chamber music.
-
E.
workNumberInBrahmsOeuvre
Indicates the catalog or opus number assigned to a specific work within Brahms’s complete body of compositions.
- F. None of above.
Provenance (3 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.