Triple
T31370694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaMont Robinson |
E800152
|
entity |
| Predicate | ethnicCultureFocus |
P78619
|
FINISHED |
| Object | African-American 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: African-American music | Statement: [LaMont Robinson, ethnicCultureFocus, African-American music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicCultureFocus Context triple: [LaMont Robinson, ethnicCultureFocus, African-American music]
-
A.
ethnicCultureDocumented
Indicates that information about an ethnic culture has been recorded, described, or otherwise documented.
-
B.
culturalCategory
Indicates that one entity classifies or groups another entity according to a particular culture, tradition, or culturally defined type.
-
C.
culturalThemes
chosen
Indicates that there is a relationship between entities where one embodies, expresses, or is associated with particular cultural themes present in or derived from the other.
-
D.
centralToCultureOf
Indicates that something is a core, defining, and influential element within the culture of a particular group or society.
-
E.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
- 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_69f224e6b7448190ac6bf97ad7364160 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 29, 2026, 9:18 p.m.