Triple
T32544790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take This Waltz |
E831813
|
entity |
| Predicate | lyricsSourceLanguage |
P11404
|
FINISHED |
| Object | Spanish |
—
|
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: Spanish | Statement: [Take This Waltz, lyricsSourceLanguage, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricsSourceLanguage Context triple: [Take This Waltz, lyricsSourceLanguage, Spanish]
-
A.
lyricsLanguage
chosen
Indicates the language in which the lyrics of a song or musical work are written or performed.
-
B.
originalLanguageOfSourceSong
Indicates that a given language is the original language in which a particular source song was created or first written.
-
C.
hasLyricsSource
Indicates that one entity serves as the source or origin of the lyrics associated with another entity.
-
D.
hasLyricalLanguage
Indicates that something (such as a text or expression) employs poetic, expressive, or highly figurative language.
-
E.
lyricsLanguageFamily
Indicates that the language of the lyrics belongs to a specified language family (e.g., Romance, Germanic, Slavic).
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:02 a.m.