Triple
T12925362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Mona Lisa |
E309229
|
entity |
| Predicate | appliedToWorkMedium |
P58594
|
FINISHED |
| Object | oil on canvas |
—
|
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: oil on canvas | Statement: [American Mona Lisa, appliedToWorkMedium, oil on canvas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedToWorkMedium Context triple: [American Mona Lisa, appliedToWorkMedium, oil on canvas]
-
A.
appliesToWork
Indicates that something (such as a rule, policy, condition, or attribute) is relevant to, governs, or is in effect for a particular piece of work or work-related activity.
-
B.
appliedWork
Indicates that an entity has put effort, skill, or labor into performing or producing a particular work or task.
-
C.
workedInMedium
Indicates that an entity carried out work or activities within a particular medium or channel of expression or communication.
-
D.
usedInWork
Indicates that something (such as a concept, method, material, or component) is employed or applied within a particular work, project, or creation.
-
E.
hasOriginalWorkMedium
chosen
Indicates that an original creative work is associated with a specific medium or material in which it was first produced.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fab4d0881909a7a4d66bab9aa85 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:42 p.m.