Triple
T12326572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Il trittico |
E293843
|
entity |
| Predicate | subjectMatterSuorAngelica |
P450
|
FINISHED |
| Object | guilt, redemption, and religious devotion |
—
|
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: guilt, redemption, and religious devotion | Statement: [Il trittico, subjectMatterSuorAngelica, guilt, redemption, and religious devotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectMatterSuorAngelica Context triple: [Il trittico, subjectMatterSuorAngelica, guilt, redemption, and religious devotion]
-
A.
subjectMatter
chosen
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
B.
revelationAngel
Indicates that an angel is the one who delivers or mediates a divine revelation to someone or about something.
-
C.
featuresAngel
Indicates that something includes or prominently presents an angel as a central element or subject.
-
D.
subjectOfCatalog
Indicates that something is the primary focus or entry described within a catalog or cataloging record.
-
E.
subjectOfDescription
Indicates that the subject is the main entity being described or characterized in a given context or statement.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.