Triple
T37631795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FAME Records |
E936362
|
entity |
| Predicate | hasCatalogFocus |
P201825
|
FINISHED |
| Object | American roots music |
—
|
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: American roots music | Statement: [FAME Records, hasCatalogFocus, American roots music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatalogFocus Context triple: [FAME Records, hasCatalogFocus, American roots music]
-
A.
hasCatalogView
Indicates that an entity is associated with a particular way or mode of viewing or presenting a catalog.
-
B.
hasCollectionFocus
Indicates that something is primarily concerned with, centered on, or directed toward a particular collection or set of items.
-
C.
hasCatalogueContext
Indicates that something is associated with, or occurs within, a specific catalogue-related context or framework.
-
D.
hasProgramFocus
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
E.
hasPrimaryFocus
Indicates that something is the main subject, concern, or area of attention for an entity or activity.
- 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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00262d71488190a769783fb09e5803 |
completed | May 10, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_6a0023985f148190a335a3fb93e9981e |
completed | May 10, 2026, 6:20 a.m. |
| PDg | Predicate description generation | batch_6a00262cc9408190b95076a2d3da057d |
completed | May 10, 2026, 6:31 a.m. |
Created at: May 3, 2026, 4:18 p.m.