Triple
T106870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Save Room |
E2156
|
entity |
| Predicate | hasMusicalStyle |
P526
|
FINISHED |
| Object | smooth melody |
—
|
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: smooth melody | Statement: [Save Room, hasMusicalStyle, smooth melody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalStyle Context triple: [Save Room, hasMusicalStyle, smooth melody]
-
A.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
B.
musicTradition
chosen
Indicates a relationship where one entity follows, embodies, or belongs to a particular musical tradition or style associated with another entity.
-
C.
musicBy
Indicates that a piece of music, performance, or recording is created, composed, or performed by a specified musical artist or group.
-
D.
hasCulturalFeature
Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
-
E.
repertoireIncludes
Indicates that a collection, such as a performer’s or system’s repertoire, contains or encompasses a particular item, work, or capability.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a256ec650c8190bee2067e37065527 |
completed | Feb. 28, 2026, 2:46 a.m. |
| PD | Predicate disambiguation | batch_69a2563d33788190999d471b486d5603 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.