Triple
T11009469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It Don't Come Easy |
E260208
|
entity |
| Predicate | catalogNumberUK |
P84753
|
FINISHED |
| Object | Apple R5898 |
—
|
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: Apple R5898 | Statement: [It Don't Come Easy, catalogNumberUK, Apple R5898]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalogNumberUK Context triple: [It Don't Come Easy, catalogNumberUK, Apple R5898]
-
A.
classificationByUK
Indicates a relationship where an entity is assigned a category, status, or type according to a United Kingdom–specific classification system.
-
B.
alternativeCatalogNumber
chosen
Indicates that an entity is associated with an additional or substitute catalog number different from its primary catalog identifier.
-
C.
workCatalogueNumber
Indicates the catalog or reference number assigned to a specific work within an organized catalogue or listing.
-
D.
statusInUK
Indicates the legal or official status that an entity holds within the United Kingdom (e.g., immigration, residency, or authorization category).
-
E.
certificationUK
Indicates that an entity holds or is associated with a certification that is specifically recognized or issued within the United Kingdom.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79788d44c819084f35693ed96f422 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.