Triple
T24191834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melancholy |
E599719
|
entity |
| Predicate | primaryInstrumentalVoice |
P155624
|
FINISHED |
| Object | clarinet |
—
|
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: clarinet | Statement: [Melancholy, primaryInstrumentalVoice, clarinet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryInstrumentalVoice Context triple: [Melancholy, primaryInstrumentalVoice, clarinet]
-
A.
primaryInstrumentRole
Indicates that an entity serves as the main or leading instrument in a given role, context, or performance.
-
B.
primaryVocalist
Indicates that the subject is the main singer or lead vocal performer for the object (such as a song, track, or musical work).
-
C.
primaryInstrumentalStyle
Indicates the main instrumental style or genre most closely associated with an entity’s musical performance or work.
-
D.
usesVocalInstrument
Indicates that an entity performs or produces sound using their voice as a musical instrument.
-
E.
primaryInstrumentalFocus
Indicates that one entity serves as the main or most emphasized instrument or means by which another entity performs an action or achieves an effect.
- F. None of above. chosen
Provenance (4 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f27a753ca8819095706970d368f762 |
completed | April 29, 2026, 9:39 p.m. |
Created at: April 17, 2026, 11:35 p.m.