Triple
T2011691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gluck’s Orfeo ed Euridice ballet music |
E43699
|
entity |
| Predicate | typicalTempoRange |
P13474
|
FINISHED |
| Object | slow to moderate |
—
|
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: slow to moderate | Statement: [Gluck’s Orfeo ed Euridice ballet music, typicalTempoRange, slow to moderate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTempoRange Context triple: [Gluck’s Orfeo ed Euridice ballet music, typicalTempoRange, slow to moderate]
-
A.
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.
-
B.
typicalRange
chosen
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
-
C.
timePeriodOfMusic
Indicates the historical or stylistic time period during which a piece of music was created, popular, or characteristic.
-
D.
tempo
Indicates the speed or pace at which an action, process, or sequence unfolds over time.
-
E.
typicalPegRange
Indicates the usual or standard range of peg values within which something is normally maintained or expected to operate.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b150a8819096c919465fd91ab5 |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.