Triple
T31288184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Positivity |
E797860
|
entity |
| Predicate | hasUpliftingTheme |
P22454
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Positivity, hasUpliftingTheme, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpliftingTheme Context triple: [Positivity, hasUpliftingTheme, true]
-
A.
hasUpliftingMessage
chosen
Indicates that something conveys a positive, encouraging, or inspiring message or theme.
-
B.
hasUpliftingSound
Indicates that something produces or is characterized by a sound that positively elevates mood, energy, or emotional state.
-
C.
motivationalTheme
Indicates a recurring motivational idea, message, or emotional driver that underlies or inspires an entity’s actions or presentation.
-
D.
isInspirationalSong
Indicates that a song motivates, uplifts, or positively influences listeners through its message, emotion, or impact.
-
E.
hasLyricalTheme
Indicates that one entity (typically a creative work) features or is characterized by a particular lyrical subject, topic, or theme.
- 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_69f224dfde288190af313f3c221c857e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:14 p.m.