Triple
T32373636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lena |
E827214
|
entity |
| Predicate | associatedTone |
—
|
GENERATED |
| Object | melancholy |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedTone Context triple: [Lena, associatedTone, melancholy]
-
A.
contributesToTone
Indicates that one entity plays a role in shaping, influencing, or determining the overall tone or mood of another entity.
-
B.
tonalAssociation
chosen
Indicates a relationship where one entity is linked to another through a shared or corresponding tonal quality, pitch, or key.
-
C.
associatedVow
Indicates a relationship where a vow is linked or connected to a particular entity or event.
-
D.
associatedSin
Indicates a relationship where one entity is linked or connected to a particular sin or wrongful act.
-
E.
inTonality
Indicates that something (such as a musical element, passage, or piece) is expressed, structured, or interpreted within a specific musical key or tonal framework.
- F. None of above.
Provenance (1 batch)
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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:50 a.m.