Triple
T14189419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mühlhausen |
E351668
|
entity |
| Predicate | BachWorkedHereAs |
P113142
|
FINISHED |
| Object | organist |
—
|
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: organist | Statement: [Mühlhausen, BachWorkedHereAs, organist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BachWorkedHereAs Context triple: [Mühlhausen, BachWorkedHereAs, organist]
-
A.
BachSacredMusic
Indicates that the subject is a work of sacred music composed by Johann Sebastian Bach.
-
B.
BachTranscriptionOf
Indicates that one musical work is a transcription or arrangement created by Johann Sebastian Bach of another original composition.
-
C.
hasWorkNumberInBachGesellschaft
Indicates that an entity is assigned a specific work number in the Bach-Gesellschaft (BG) catalog of Bach’s compositions.
-
D.
relativeTypeToJohannSebastianBach
Indicates a familial relationship that a person has to Johann Sebastian Bach (e.g., parent, child, sibling, spouse, or other relative).
-
E.
employedAsKapellmeister
Indicates that one entity is employed in the role or position of Kapellmeister (music director/chapel master) for 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61de509881908967ef5031f2a8d9 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:03 a.m.