Triple
T31286762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It's Gonna Be a Beautiful Night |
E797823
|
entity |
| Predicate | hasExtendedOutro |
P181075
|
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: [It's Gonna Be a Beautiful Night, hasExtendedOutro, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExtendedOutro Context triple: [It's Gonna Be a Beautiful Night, hasExtendedOutro, true]
-
A.
hasLiveOutroImprovisations
Indicates that an entity includes or features improvised material performed live during its outro section.
-
B.
isOutroLike
Indicates that something has characteristics similar to an outro, such as serving as a closing or concluding segment.
-
C.
hasUnfinishedEnding
Indicates that an entity concludes in an incomplete, unresolved, or open-ended manner rather than reaching a fully finished state.
-
D.
hasSequelSong
Indicates that one song serves as a sequel or follow-up to another song, continuing or expanding its themes, story, or musical ideas.
-
E.
hasEndCreditsMusic
Indicates that an audiovisual work features specific music played during its end credits sequence.
- 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_69f224dfde288190af313f3c221c857e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
| PDg | Predicate description generation | batch_69f760a2a90c8190b8fbc55412ab752b |
completed | May 3, 2026, 2:50 p.m. |
Created at: April 29, 2026, 9:13 p.m.