Triple
T17729155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dirty Mac |
E442542
|
entity |
| Predicate | hasNoStudioAlbums |
P128776
|
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: [The Dirty Mac, hasNoStudioAlbums, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoStudioAlbums Context triple: [The Dirty Mac, hasNoStudioAlbums, true]
-
A.
hasStudioAlbum
Indicates that an entity (typically an artist) is associated with or has released a particular studio album.
-
B.
hasSoloAlbum
Indicates that an individual has released at least one music album as a solo artist, separate from any group or band projects.
-
C.
hasStudioAlbumSequence
Indicates the ordered sequence in which a subject’s studio albums are released or arranged relative to one another.
-
D.
hasStudioAlbumContext
Indicates that there is a contextual relationship between an entity and a specific studio album, such as information, metadata, or circumstances associated with that album.
-
E.
hasNotableAlbum
Indicates that an entity (typically a musical artist or group) is associated with one or more albums that are considered notable or significant.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e4ae5c8190a6f0743f7e74b5bf |
completed | April 19, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d37ab6988190bd326ea6f8dd4aaa |
completed | April 18, 2026, 6:54 p.m. |
Created at: April 10, 2026, 10:08 a.m.