Triple
T32373636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lena |
E827214
|
entity |
| Predicate | associatedTone |
P111481
|
FINISHED |
| Object | melancholy |
—
|
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: melancholy | Statement: [Lena, associatedTone, melancholy]
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 (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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:50 a.m.