Triple
T34490551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danse macabre |
E885454
|
entity |
| Predicate | openingMotifRepresents |
P40258
|
FINISHED |
| Object | twelve strokes of midnight |
—
|
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: twelve strokes of midnight | Statement: [Danse macabre, openingMotifRepresents, twelve strokes of midnight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingMotifRepresents Context triple: [Danse macabre, openingMotifRepresents, twelve strokes of midnight]
-
A.
openingMotif
chosen
Indicates that one element serves as the initial recurring theme or pattern that introduces and sets the tone for another element, such as a work or sequence.
-
B.
openingMotifDescription
Indicates a description of the initial recurring musical or thematic idea that begins a work or section.
-
C.
openingMotive
Indicates the initial reason, trigger, or intent that prompts an action or event to begin.
-
D.
openingMotifPopularParaphrase
Indicates that the opening motif of a work is commonly referenced, rephrased, or echoed in popular or widely recognized paraphrased form.
-
E.
primaryMotif
Indicates that one entity serves as the main recurring theme or dominant motif associated with 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_69f349cafcec8190997b45b3fdc16c27 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 1, 2026, 2:01 a.m.