Triple
T24299296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Return of the Durutti Column |
E606047
|
entity |
| Predicate | notableAspectOfPackaging |
P120559
|
FINISHED |
| Object | sandpaper sleeve in some editions |
—
|
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: sandpaper sleeve in some editions | Statement: [The Return of the Durutti Column, notableAspectOfPackaging, sandpaper sleeve in some editions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAspectOfPackaging Context triple: [The Return of the Durutti Column, notableAspectOfPackaging, sandpaper sleeve in some editions]
-
A.
notablePackagingDesign
chosen
Indicates that an entity is recognized for having a distinctive, noteworthy, or otherwise significant packaging design.
-
B.
colorOfPackaging
Indicates the color attribute associated with the packaging of an item or product.
-
C.
notableCollectionCharacteristic
Indicates that a collection is distinguished by a particular defining feature or quality that makes it notable.
-
D.
packagingStyle
Indicates the manner or format in which a product or item is packaged or presented.
-
E.
notableFeatureOn
Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f2915d8ac881908d71ba529e30f434 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.