Triple
T2204420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sure Thing |
E50562
|
entity |
| Predicate | hasHookLyric |
P18290
|
FINISHED |
| Object | "You could bet that, never gotta sweat that" |
—
|
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: "You could bet that, never gotta sweat that" | Statement: [Sure Thing, hasHookLyric, "You could bet that, never gotta sweat that"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHookLyric Context triple: [Sure Thing, hasHookLyric, "You could bet that, never gotta sweat that"]
-
A.
hasLyric
chosen
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
-
B.
hasOpeningLyric
Indicates that one entity serves as the opening lyric of another entity, typically a song or musical work.
-
C.
hasVariableLyrics
Indicates that the lyrics of a song or musical piece change between different performances, versions, or contexts.
-
D.
hasLyricsTheme
Indicates that the lyrics of a work primarily concern or revolve around a specified theme or subject.
-
E.
hasOfficialLyrics
Indicates that an entity (such as a song or musical work) has lyrics that are formally recognized or authorized as the official version.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1baa0948190b07ffc347a4f714e |
completed | March 7, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69abbda8a6dc8190aa855ce2d17194b1 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.