Triple
T927196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Me Now |
E20009
|
entity |
| Predicate | intendedMood |
P2340
|
FINISHED |
| Object | uplifting |
—
|
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: uplifting | Statement: [Love Me Now, intendedMood, uplifting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedMood Context triple: [Love Me Now, intendedMood, uplifting]
-
A.
hasMood
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
B.
designedToEvoke
chosen
Indicates that something was intentionally created or arranged in order to elicit a particular reaction, feeling, or response from an audience or observer.
-
C.
joyLevel
Indicates the degree or intensity of joy experienced or expressed by an entity.
-
D.
mode
Indicates the manner, method, or way in which an action, process, or interaction is carried out or occurs.
-
E.
intendedMessage
Indicates that one entity is the message or content that another entity aims or plans to communicate.
- 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_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. |
Created at: March 1, 2026, 7:40 p.m.