Triple
T3086513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superstition |
E64384
|
entity |
| Predicate | featuresRiffOn |
P12878
|
FINISHED |
| Object | clavinet |
—
|
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: clavinet | Statement: [Superstition, featuresRiffOn, clavinet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresRiffOn Context triple: [Superstition, featuresRiffOn, clavinet]
-
A.
describesInstrument
Indicates that one entity specifies or characterizes the instrument or tool used by another entity to perform an action.
-
B.
featuresFictionalBand
Indicates that something (such as a work or event) includes or presents a fictional band as part of its content or narrative.
-
C.
featuresMusician
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
-
D.
featuresFictionalMusical
Indicates that a work includes or prominently involves a fictional musical as part of its content or storyline.
-
E.
musicInstrumentation
chosen
Indicates the specific instruments or instrumental forces used to perform a piece of music.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1ec187c819084565514ebb99cdb |
completed | March 8, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:03 p.m.