Triple
T3930077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appetite for Destruction |
E93372
|
entity |
| Predicate | originalCoverArtCensored |
P51747
|
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: [Appetite for Destruction, originalCoverArtCensored, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalCoverArtCensored Context triple: [Appetite for Destruction, originalCoverArtCensored, true]
-
A.
hasCoverArtFeaturing
Indicates that one entity’s cover art visually features or depicts another entity.
-
B.
coverArtText
Indicates that the text element is part of, or associated with, the cover art of a work.
-
C.
coverArtDepicts
Indicates that the subject cover art visually represents, portrays, or includes the object within its imagery.
-
D.
originallyCoveredBy
Indicates that something was first protected, reported on, or documented by a particular source, medium, or entity before any others.
-
E.
eraCovered
Indicates that one entity temporally encompasses, includes, or spans the historical period or era associated with another entity.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda7cf3c81909df30744bddbad7e |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeeb5f859c819095b61f5ba8eace4f |
completed | March 9, 2026, 3:46 p.m. |
Created at: March 9, 2026, 3:23 p.m.