Triple
T3170988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theme from "Edelweiss" (revised) |
E66337
|
entity |
| Predicate | usesMelodicMaterialFrom |
P37245
|
FINISHED |
| Object | final song of "The Sound of Music" |
—
|
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: final song of "The Sound of Music" | Statement: [Theme from "Edelweiss" (revised), usesMelodicMaterialFrom, final song of "The Sound of Music"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMelodicMaterialFrom Context triple: [Theme from "Edelweiss" (revised), usesMelodicMaterialFrom, final song of "The Sound of Music"]
-
A.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
B.
melodyReusedBy
chosen
Indicates that a melody originally used in one work is later reused or incorporated in another work.
-
C.
melodyType
Indicates the specific kind or category of melody associated with or used by an entity.
-
D.
isEarlierUseOfMelodyThan
Indicates that one use of a melody occurs at an earlier time than another use of the same or comparable melody.
-
E.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada66c043081908eb23a4fe3420a78 |
completed | March 8, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0076b4819094628f1ad10b8f68 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.