Triple
T27345524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carillon (finale) |
E684219
|
entity |
| Predicate | hasLeitmotif |
P4543
|
FINISHED |
| Object | pocket watch 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: pocket watch melody | Statement: [Carillon (finale), hasLeitmotif, pocket watch melody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeitmotif Context triple: [Carillon (finale), hasLeitmotif, pocket watch melody]
-
A.
hasSoundtrackCharacteristic
Indicates that a soundtrack possesses a specified quality, feature, or attribute.
-
B.
hasMelodicHook
Indicates that a musical piece contains a distinctive, memorable melodic phrase designed to catch the listener’s attention.
-
C.
hasMelody
chosen
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
D.
hasLyricalTheme
Indicates that one entity (typically a creative work) features or is characterized by a particular lyrical subject, topic, or theme.
-
E.
hasMotivicFunction
Indicates that one musical element serves a specific thematic or structural role in relation to a larger motive or passage.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 11:45 a.m.