Triple
T20072557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lega |
E499773
|
entity |
| Predicate | artUsedFor |
P115296
|
FINISHED |
| Object | moral instruction |
—
|
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: moral instruction | Statement: [Lega, artUsedFor, moral instruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artUsedFor Context triple: [Lega, artUsedFor, moral instruction]
-
A.
artUse
Indicates that one entity uses, applies, or employs another entity within an artistic or creative context.
-
B.
artIncludes
Indicates that a work of art contains, incorporates, or is composed of another artistic element or component.
-
C.
artwork
Indicates that one entity is an artwork created, presented, or associated with another entity (such as an artist, collection, or institution).
-
D.
artSpecialty
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
-
E.
usedForArtisticPurpose
chosen
Indicates that something is employed or applied with the intention of creating, expressing, or enhancing art or aesthetic experience.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664392c748190a6cc472f80b8c74b |
completed | April 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:40 p.m.