Triple
T8892684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misty |
E211716
|
entity |
| Predicate | harmonicCharacteristic |
P64410
|
FINISHED |
| Object | lush harmonies |
—
|
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: lush harmonies | Statement: [Misty, harmonicCharacteristic, lush harmonies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: harmonicCharacteristic Context triple: [Misty, harmonicCharacteristic, lush harmonies]
-
A.
usesHarmonics
Indicates that one entity employs harmonic frequencies or overtones of another entity or signal as part of its operation or behavior.
-
B.
harmonicLanguage
chosen
Indicates a relationship where one entity uses or is characterized by a system of musical harmony or tonal organization associated with another entity.
-
C.
hasHarmony
Indicates that two or more entities are in a state of balance, agreement, or pleasing coordination with one another.
-
D.
hasConsonantHarmony
Indicates that the entities are related by a pattern where consonants within a linguistic unit adjust to share similar features, creating consonant harmony.
-
E.
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.
- 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_69ca83907954819096d52a245b635841 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61bb46c881909e579bb1926e5204 |
completed | April 1, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2aec04819093c932fe51c0f08d |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:54 p.m.