Triple
T8422108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Picasso |
E198882
|
entity |
| Predicate | depictedPersonOccupation |
P7041
|
FINISHED |
| Object | painter |
—
|
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: painter | Statement: [Portrait of Picasso, depictedPersonOccupation, painter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictedPersonOccupation Context triple: [Portrait of Picasso, depictedPersonOccupation, painter]
-
A.
depictsPersonRole
Indicates that an image or representation shows a person in a specific role, function, or capacity.
-
B.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
C.
portraysProfession
chosen
Indicates that one entity depicts or represents another entity in a specific profession or occupational role.
-
D.
depictedSubject
Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
-
E.
namedPersonOccupation
Indicates that a person is explicitly identified as having a particular occupation or job role.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb859e22f88190a61e7dd6537644b0 |
completed | March 31, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69cb70d70ea081909c3dc1bd2ec14f85 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:06 p.m.