Triple
T37360034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inventions and Sinfonias |
E927552
|
entity |
| Predicate | typicalLengthOfPiece |
P18065
|
FINISHED |
| Object | short |
—
|
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: short | Statement: [Inventions and Sinfonias, typicalLengthOfPiece, short]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLengthOfPiece Context triple: [Inventions and Sinfonias, typicalLengthOfPiece, short]
-
A.
typicalLength
chosen
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
B.
typicalTrackLengthRange
Indicates the usual minimum and maximum lengths that a track associated with something tends to fall between.
-
C.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
-
D.
numberOfPieces
Indicates the quantity of discrete parts or units into which something is divided or composed.
-
E.
typicalScaleLength
Indicates the characteristic or standard length scale that typically applies to the entity or phenomenon in question.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.