Triple
T13636233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | hip hop culture |
E325855
|
entity |
| Predicate | hasVisualArtForm |
P9512
|
FINISHED |
| Object | graffiti |
—
|
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: graffiti | Statement: [hip hop culture, hasVisualArtForm, graffiti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisualArtForm Context triple: [hip hop culture, hasVisualArtForm, graffiti]
-
A.
artSpecialty
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
-
B.
hasArtisticDiscipline
chosen
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
-
C.
hasArtSubjects
Indicates that an entity is associated with one or more subjects or themes within the domain of art.
-
D.
artisticMedium
Indicates the material or technique used to create an artwork or artistic expression.
-
E.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.