Triple
T2232785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serenade for Strings in C major, Op. 48 |
E49207
|
entity |
| Predicate | dedicationType |
P36403
|
FINISHED |
| Object | dedicated to a colleague and cellist |
—
|
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: dedicated to a colleague and cellist | Statement: [Serenade for Strings in C major, Op. 48, dedicationType, dedicated to a colleague and cellist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicationType Context triple: [Serenade for Strings in C major, Op. 48, dedicationType, dedicated to a colleague and cellist]
-
A.
dedicatee
Indicates the person or entity to whom a work, such as a book, artwork, or performance, is formally dedicated.
-
B.
dedicationDate
Indicates the date on which something (such as a building, monument, or work) is formally dedicated or inaugurated.
-
C.
dedicated
Indicates that one entity is formally assigned, reserved, or committed for the specific use, benefit, or purpose of another entity.
-
D.
rededicatedBy
Indicates that something has been dedicated again or anew by a particular agent or entity.
-
E.
designationType
Indicates the specific category or kind of formal status, title, or label that has been assigned in a designation relationship.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc06d26bc8190a85ddb6312d2df08 |
completed | March 7, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69abbdadbb0c8190b3a1ede31b8acbfa |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:47 p.m.