Triple
T17951913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makara |
E448849
|
entity |
| Predicate | influencedArtTradition |
P20089
|
FINISHED |
| Object | Khmer art |
—
|
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: Khmer art | Statement: [Makara, influencedArtTradition, Khmer art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedArtTradition Context triple: [Makara, influencedArtTradition, Khmer art]
-
A.
influencedTradition
Indicates that one entity has had a shaping or guiding effect on the development, practices, or values of a particular tradition.
-
B.
influenceOnArt
chosen
Indicates that one entity has affected, shaped, or inspired the artistic style, content, or development of another.
-
C.
paintingTradition
Indicates a stylistic or cultural school of painting to which an artwork or artist belongs.
-
D.
traditionalArtForm
Indicates that something is an established artistic practice or style that has been handed down through cultural or historical tradition.
-
E.
artisticLineage
Indicates a relationship where artistic style, influence, or mentorship is passed from one creator or tradition to another.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afad61f481908b34cd24de88983c |
completed | April 19, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.