Triple
T22483614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G major |
E555827
|
entity |
| Predicate | typicalAffectiveCharacterization |
P87208
|
FINISHED |
| Object | cheerful |
—
|
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: cheerful | Statement: [G major, typicalAffectiveCharacterization, cheerful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAffectiveCharacterization Context triple: [G major, typicalAffectiveCharacterization, cheerful]
-
A.
emotionalTrait
chosen
Indicates that an entity possesses a particular emotional characteristic, disposition, or affective quality.
-
B.
emotionAssociation
Indicates an emotional relationship or connection that one entity has toward another entity or concept.
-
C.
textualCharacterization
Indicates that one entity provides a descriptive or narrative characterization of another entity, typically in textual form.
-
D.
responseCharacterization
Indicates how a given response is evaluated or described in terms of its qualities, attributes, or type.
-
E.
APACharacteristics
Indicates that one entity specifies or describes the attributes, features, or properties of another 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3b03d881909e286a124c1a2b1c |
completed | April 29, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.