Triple
T13996130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Today |
E336699
|
entity |
| Predicate | intendedEffectOnListener |
P46826
|
FINISHED |
| Object | uplift mood |
—
|
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: uplift mood | Statement: [Love Today, intendedEffectOnListener, uplift mood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedEffectOnListener Context triple: [Love Today, intendedEffectOnListener, uplift mood]
-
A.
hasIntendedEffect
chosen
Indicates that one entity is expected or designed to produce a particular effect or outcome on another entity or context.
-
B.
tookEffect
Indicates that a change, rule, condition, or event became active, operative, or started producing its intended consequences.
-
C.
predictedEffect
Indicates that one entity is expected to cause, influence, or result in a particular outcome or consequence for another entity.
-
D.
eventEffect
Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
-
E.
intendedFunction
Indicates that something is designed or purposed to perform a particular role, use, or function.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb53f508190855cd69b8061dd77 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.