Triple
T10125910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lodovico Settembrini |
E226213
|
entity |
| Predicate | viewsOnArt |
P61226
|
FINISHED |
| Object | art should serve humanity |
—
|
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: art should serve humanity | Statement: [Lodovico Settembrini, viewsOnArt, art should serve humanity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsOnArt Context triple: [Lodovico Settembrini, viewsOnArt, art should serve humanity]
-
A.
viewsArtAs
chosen
Indicates that one entity regards or interprets another entity as a form or example of art.
-
B.
inArtSince
Indicates that an entity has been involved or active in the field of art starting from a specified time.
-
C.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
-
D.
publicArt
Indicates that something is an artwork installed or displayed in a publicly accessible space.
-
E.
viewOnInspiration
Indicates a relationship where one entity expresses or holds a particular perspective, opinion, or stance regarding inspiration.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2ed85b4819097dfe89e044e1a90 |
completed | April 2, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:05 p.m.