Triple
T6382962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendelssohn Lobgesang |
E143628
|
entity |
| Predicate | dedicationContext |
P69507
|
FINISHED |
| Object | public thanksgiving and praise |
—
|
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: public thanksgiving and praise | Statement: [Mendelssohn Lobgesang, dedicationContext, public thanksgiving and praise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicationContext Context triple: [Mendelssohn Lobgesang, dedicationContext, public thanksgiving and praise]
-
A.
dedicationType
Indicates the specific kind or category of dedication that characterizes the relationship or action between entities.
-
B.
dedicationBy
Indicates that one entity formally dedicates, commits, or devotes another entity (such as a work, resource, or effort) to a particular person, purpose, or cause.
-
C.
dedicatee
Indicates the person or entity to whom a work, such as a book, artwork, or performance, is formally dedicated.
-
D.
dedicatedToConcept
chosen
Indicates that something is specifically devoted, committed, or purposefully directed toward a particular concept or abstract idea.
-
E.
dedicated
Indicates that one entity is formally assigned, reserved, or committed for the specific use, benefit, or purpose of another entity.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06854eb608190acb6bb4dc466f0fc |
completed | March 22, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69c060eff524819094cee1c70a0c1ff4 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:34 p.m.