Triple
T14132752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bongrand |
E350208
|
entity |
| Predicate | artisticPosition |
P49761
|
FINISHED |
| Object | academic 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: academic art | Statement: [Bongrand, artisticPosition, academic art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artisticPosition Context triple: [Bongrand, artisticPosition, academic art]
-
A.
artisticDirection
Indicates that one entity is responsible for guiding and overseeing the creative or aesthetic vision of another entity or project.
-
B.
artisticField
chosen
Indicates the artistic domain or creative discipline in which an entity is active or associated.
-
C.
artisticAmbition
Indicates a desire or drive to create, achieve, or excel in artistic or creative pursuits.
-
D.
artisticTraining
Indicates that one entity has provided, received, or been involved in formal or informal instruction or education in the arts from or with another entity.
-
E.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610cece88190b4a86500677e5938 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 11:28 p.m.