Triple
T27255821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Put On a Happy Face |
E687609
|
entity |
| Predicate | intendedMoodEffect |
P63081
|
FINISHED |
| Object | encouragement |
—
|
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: encouragement | Statement: [Put On a Happy Face, intendedMoodEffect, encouragement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedMoodEffect Context triple: [Put On a Happy Face, intendedMoodEffect, encouragement]
-
A.
intendedEmotion
chosen
Indicates the emotion that an action, expression, or communication is meant to evoke in its target, regardless of the actual emotion experienced.
-
B.
emotionEffect
Indicates that one entity’s emotional state causes or influences a change in another entity’s feelings, behavior, or condition.
-
C.
depictsMood
Indicates that one entity visually represents or conveys the emotional state or mood of another entity.
-
D.
featuresMood
Indicates that something includes, presents, or conveys a particular mood or emotional atmosphere.
-
E.
hasMood
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
- 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_69ef35567e808190a94458cd44ebff0c |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 10:49 a.m.