Triple
T29026171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Der Dichter spricht |
E737597
|
entity |
| Predicate | hasNotatedDynamics |
P51622
|
FINISHED |
| Object | pp |
—
|
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: pp | Statement: [Der Dichter spricht, hasNotatedDynamics, pp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotatedDynamics Context triple: [Der Dichter spricht, hasNotatedDynamics, pp]
-
A.
hasDynamics
chosen
Indicates that one entity exhibits or is characterized by specific dynamic behavior, changes, or variations over time in relation to another entity or context.
-
B.
hasOrnamentation
Indicates that an entity possesses decorative features or embellishments applied to its surface or structure.
-
C.
hasNotableBeat
Indicates that an entity (such as a journalist or reporter) is professionally assigned to cover a specific topic, area, or subject as their primary reporting focus.
-
D.
hasMusicalDirection
Indicates that one entity is responsible for guiding, supervising, or determining the musical interpretation and performance of another entity.
-
E.
hasCadenza
Indicates that a musical work, passage, or performance includes or is associated with a cadenza section.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69ff6a4ce9a08190b98abde3a170dd69 |
completed | May 9, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69ff69c11634819089d1084bd2c11534 |
completed | May 9, 2026, 5:07 p.m. |
Created at: April 28, 2026, 9:52 a.m.