Triple
T24476133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Litta Madonna |
E617237
|
entity |
| Predicate | possibleAttribution |
P153893
|
FINISHED |
| Object | Giovanni Antonio Boltraffio |
—
|
NE NERFINISHED |
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: Giovanni Antonio Boltraffio | Statement: [Litta Madonna, possibleAttribution, Giovanni Antonio Boltraffio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleAttribution Context triple: [Litta Madonna, possibleAttribution, Giovanni Antonio Boltraffio]
-
A.
traditionalAttribution
Indicates that something is credited or assigned to a source (such as an author, creator, or origin) according to long-standing or customary belief rather than definitive evidence.
-
B.
previousAttribution
Indicates that an entity was formerly attributed to a particular source, author, or origin before a later reattribution or change.
-
C.
pseudonymousAttribution
Indicates that an action, work, or statement is attributed to an entity using a pseudonym rather than their real identity.
-
D.
questionedAttribution
Indicates that the correctness or source of an attribution between entities is being challenged or called into doubt.
-
E.
possiblyBy
chosen
Indicates that an action, creation, or effect may have been caused or produced by a particular entity, but this attribution is uncertain or not definitively established.
- 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_69e2d7f3ae788190b683394db15f220e |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2994820f0819096f04d72ee2f4258 |
completed | April 29, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:21 a.m.