Triple
T197704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heaven and Hell (Vangelis) |
E4033
|
entity |
| Predicate | hasCoverArt |
P2386
|
FINISHED |
| Object | Heaven and Hell (Vangelis) album cover |
—
|
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: Heaven and Hell (Vangelis) album cover | Statement: [Heaven and Hell (Vangelis), hasCoverArt, Heaven and Hell (Vangelis) album cover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoverArt Context triple: [Heaven and Hell (Vangelis), hasCoverArt, Heaven and Hell (Vangelis) album cover]
-
A.
hasArtist
Indicates that an entity (such as a work or item) is associated with or created by a specific artist.
-
B.
hasPartInDiscography
Indicates that an entity (such as a song, album, or track) is included as a component within another entity’s discography.
-
C.
hasBand
Indicates that an entity is associated with or includes a particular band (e.g., musical group or band-like unit).
-
D.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
E.
hasIllustrations
chosen
Indicates that an entity includes or is accompanied by visual illustrations.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25be47ea881909c296b30a0d47a65 |
completed | Feb. 28, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69a25b47481c8190add47c641c977bb9 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.