Triple
T27146950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portinari Altarpiece |
E681975
|
entity |
| Predicate | commissionerOccupation |
P165878
|
FINISHED |
| Object | banker |
—
|
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: banker | Statement: [Portinari Altarpiece, commissionerOccupation, banker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commissionerOccupation Context triple: [Portinari Altarpiece, commissionerOccupation, banker]
-
A.
commissioner
Indicates that an entity holds the role or position of commissioner in relation to another entity or context.
-
B.
commissionerTitle
Indicates the official title or designation held by a person serving in the role of commissioner.
-
C.
commissionerIsPartOf
Indicates that a commissioner belongs to, is a member of, or is organizationally included within a larger entity or group.
-
D.
commissionerStatus
Indicates the role or standing an entity holds in relation to a commissioner position or office.
-
E.
officeHolderOccupation
Indicates that the occupation describes the role or job held by an office holder.
- F. None of above. chosen
Provenance (4 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a9cb0bc8190bf8a9b319900bad5 |
completed | May 2, 2026, 8:12 p.m. |
Created at: April 27, 2026, 9:12 a.m.