Triple
T28961735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Bother |
E731916
|
entity |
| Predicate | hasAlbumLanguage |
P172385
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Don't Bother, hasAlbumLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlbumLanguage Context triple: [Don't Bother, hasAlbumLanguage, English]
-
A.
isOnEnglishLanguageAlbum
chosen
Indicates that an item (such as a song or track) appears on an album whose primary language is English.
-
B.
hasArtistLanguage
Indicates that an artist is associated with, or primarily uses, a particular language in their work or identity.
-
C.
isOnBilingualThemedAlbum
Indicates that an item (such as a song or track) appears on an album whose theme or content prominently involves two languages.
-
D.
hasLyricalLanguage
Indicates that something (such as a text or expression) employs poetic, expressive, or highly figurative language.
-
E.
languageOfReleases
Indicates the language in which the releases associated with an entity are produced or published.
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 28, 2026, 8:50 a.m.