Triple
T31930198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | True Love |
E815222
|
entity |
| Predicate | tonalDescription |
P172744
|
FINISHED |
| Object | emotional |
—
|
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: emotional | Statement: [True Love, tonalDescription, emotional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tonalDescription Context triple: [True Love, tonalDescription, emotional]
-
A.
tonalFeatures
Indicates that one entity specifies or characterizes the tonal properties or qualities associated with another entity.
-
B.
tonal
Indicates that one entity has a tone, pitch pattern, or tonal quality in relation to another (such as a language, sound, or musical element).
-
C.
tonalArchitecture
Indicates a relationship where one entity defines, shapes, or organizes the tonal structure or harmonic framework of another (such as a piece, passage, or system).
-
D.
tonalCharacteristic
Indicates the specific quality or character of a sound’s tone, such as its color, texture, or expressive nuance, in relation to an entity.
-
E.
tonalSystem
Indicates a relationship where a language or musical system is characterized by a specific set of tonal patterns or pitch distinctions that structure its sounds or expressions.
- 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_69f348f3035c81908558e2339955abb3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b22f4d748190bca378f6d4a7d4fe |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6aca7081881909e96a8b05ec086bb |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: May 1, 2026, 12:04 a.m.