Triple
T10491688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The IRS Tapes: Who'll Buy My Memories? |
E247434
|
entity |
| Predicate | hasCatalogIn |
P19933
|
FINISHED |
| Object | Willie Nelson official discography |
—
|
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: Willie Nelson official discography | Statement: [The IRS Tapes: Who'll Buy My Memories?, hasCatalogIn, Willie Nelson official discography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatalogIn Context triple: [The IRS Tapes: Who'll Buy My Memories?, hasCatalogIn, Willie Nelson official discography]
-
A.
belongsToCatalogOf
chosen
Indicates that one item is included within, or is a member of, a particular catalog or collection.
-
B.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
C.
hasOnlineCatalog
Indicates that an entity provides a catalog of its items or offerings that is accessible via the internet.
-
D.
hasCatalogueContext
Indicates that something is associated with, or occurs within, a specific catalogue-related context or framework.
-
E.
hasCategories
Indicates that an entity is associated with one or more categories that classify or group it.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097e1c888190bc8e039f2e46181e |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:24 p.m.