Triple
T927170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Me Now |
E20009
|
entity |
| Predicate | hasUpliftingMessage |
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: [Love Me Now, hasUpliftingMessage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpliftingMessage Context triple: [Love Me Now, hasUpliftingMessage, true]
-
A.
hasMean
Indicates that one entity possesses, exhibits, or is characterized by a particular mean value or average.
-
B.
intendedMessage
Indicates that one entity is the message or content that another entity aims or plans to communicate.
-
C.
hasHigh
Indicates that an entity possesses a high level, degree, or intensity of a specified attribute or property.
-
D.
hasMood
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
E.
hasUpgrade
Indicates that one entity possesses, includes, or is associated with an improved or enhanced version of another entity.
- F. None of above. chosen
Provenance (4 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2970a4c8190b22cb2fd4706f62b |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b385176081909e3e8c3f647c1fd4 |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.