Triple
T5400849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Before the Lobotomy |
E120769
|
entity |
| Predicate | tempoChange |
P46727
|
FINISHED |
| Object | features dynamic shifts between soft and loud sections |
—
|
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: features dynamic shifts between soft and loud sections | Statement: [Before the Lobotomy, tempoChange, features dynamic shifts between soft and loud sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tempoChange Context triple: [Before the Lobotomy, tempoChange, features dynamic shifts between soft and loud sections]
-
A.
tempo
Indicates the speed or pace at which an action, process, or sequence unfolds over time.
-
B.
hasTempoChanges
chosen
Indicates that the tempo of the piece or segment changes over its duration, rather than remaining constant.
-
C.
typicalTempoControl
Indicates that one entity serves as the usual or standard means by which the tempo of another entity (such as a process or activity) is regulated or controlled.
-
D.
tempoFeature
Indicates a relationship where a musical or rhythmic element is characterized by, or associated with, a specific tempo-related property or feature.
-
E.
frequencyChange
Indicates a change in how often an event, action, or state occurs over time.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.