Triple
T31191853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lonely People |
E795200
|
entity |
| Predicate | hasNotableCoverVersionArtist |
P95695
|
FINISHED |
| Object | Dan Peek |
—
|
NE NERFINISHED |
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: Dan Peek | Statement: [Lonely People, hasNotableCoverVersionArtist, Dan Peek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCoverVersionArtist Context triple: [Lonely People, hasNotableCoverVersionArtist, Dan Peek]
-
A.
hasCoverVersionPerformer
chosen
Indicates that an entity is the performer of a cover version of another entity’s original work.
-
B.
hasCoverVersions
Indicates that a musical work has one or more recorded versions performed or produced by artists other than the original creator.
-
C.
hasNotableCoverArtist
Indicates that an entity has a cover (e.g., of a book, album, or publication) created by a cover artist who is considered notable.
-
D.
hasCoverVersionInGenre
Indicates that an entity has at least one cover version that is performed or produced within a specified musical genre.
-
E.
hasCountryCoverVersionBy
Indicates that one entity is a country music cover version of another entity (typically an original song or recording).
- 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_69f224d7a6a481908187c4362a8a525f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0087de41c48190b2743a26b6d65409 |
completed | May 10, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_6a00870a8bc48190be1385579b8cc1dd |
completed | May 10, 2026, 1:24 p.m. |
Created at: April 29, 2026, 9:08 p.m.