Triple
T29237708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Barchetta |
E741235
|
entity |
| Predicate | featuresDynamicInstrumentalSections |
P88202
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Red Barchetta, featuresDynamicInstrumentalSections, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDynamicInstrumentalSections Context triple: [Red Barchetta, featuresDynamicInstrumentalSections, true]
-
A.
featuresInstrumentSection
Indicates that an entity includes or highlights a specific section devoted to musical instruments.
-
B.
hasExtendedInstrumentalSections
Indicates that a musical work contains notably long instrumental passages beyond typical song structure.
-
C.
hasShiftingMusicalSections
chosen
Indicates that a musical work contains distinct sections whose musical characteristics (such as tempo, key, style, or mood) change noticeably over the course of the piece.
-
D.
featuresInstrumentalDialogue
Indicates that the situation or work includes dialogue that serves an instrumental or functional purpose, such as advancing a task, plan, or procedure.
-
E.
containsInstrumentalTrack
Indicates that one entity includes or features an instrumental music track as part of its content.
- 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
Created at: April 28, 2026, 12:30 p.m.