Triple
T32945011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nachtstück No. 4 in F major, Op. 23 |
E842775
|
entity |
| Predicate | dedicatedWorkOf |
P49437
|
FINISHED |
| Object | Robert Schumann |
—
|
NE NERFINISHED |
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: Robert Schumann | Statement: [Nachtstück No. 4 in F major, Op. 23, dedicatedWorkOf, Robert Schumann]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicatedWorkOf Context triple: [Nachtstück No. 4 in F major, Op. 23, dedicatedWorkOf, Robert Schumann]
-
A.
hasWorkDedicatedTo
chosen
Indicates that one entity has a work (such as a book, artwork, or composition) that is formally dedicated to another entity.
-
B.
dedicatedToOccupation
Indicates that an entity is committed or devoted to performing or pursuing a particular occupation or professional role.
-
C.
dedicated
Indicates that one entity is formally assigned, reserved, or committed for the specific use, benefit, or purpose of another entity.
-
D.
distributedWorksOf
Indicates that one entity disseminated, circulated, or handed out the works (such as creations, products, or materials) of another entity.
-
E.
workFor
Indicates that one entity is employed by or performs work under the authority or direction 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_69f34949727c81909d195c97de3341c8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:20 a.m.