Triple
T29961396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonight’s the Kind of Night |
E761052
|
entity |
| Predicate | hasAnthemicSound |
P147620
|
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: [Tonight’s the Kind of Night, hasAnthemicSound, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnthemicSound Context triple: [Tonight’s the Kind of Night, hasAnthemicSound, true]
-
A.
hasEnergeticVocals
Indicates that the subject performs vocals characterized by high energy, intensity, or liveliness.
-
B.
hasMoreMelodicSoundThan
Indicates that the sound produced by one entity is judged to be more melodic, tuneful, or musically pleasing than the sound produced by another entity.
-
C.
hasEuphoricVocals
Indicates that the subject features or produces vocals characterized by intense happiness, excitement, or uplifting emotional expression.
-
D.
hasAudioFeature
Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
-
E.
hasFanChantPotential
chosen
Indicates that something (such as a song, phrase, or performance element) is well-suited to be adopted and enthusiastically chanted by a crowd or fanbase.
- 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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 29, 2026, 6:29 p.m.