Triple
T12960967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Ladislaw |
E310140
|
entity |
| Predicate | hasArtisticTalentIn |
P9512
|
FINISHED |
| Object | painting |
—
|
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: painting | Statement: [Will Ladislaw, hasArtisticTalentIn, painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtisticTalentIn Context triple: [Will Ladislaw, hasArtisticTalentIn, painting]
-
A.
hasArtisticDiscipline
chosen
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
-
B.
hasArtisticGenre
Indicates that an entity (such as a work or creation) belongs to or is characterized by a particular artistic genre.
-
C.
hasArtisticFocus
Indicates that an entity’s primary artistic attention, theme, or specialization is directed toward a particular subject, style, or medium.
-
D.
hasArtisticReputation
Indicates that an entity is recognized or regarded for its artistic skill, contribution, or standing.
-
E.
artisticAmbition
Indicates a desire or drive to create, achieve, or excel in artistic or creative pursuits.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:44 p.m.