Triple
T13967802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | self-portrait of Caravaggio as a lantern-bearing figure |
E335970
|
entity |
| Predicate | relationshipToMainSubject |
P84787
|
FINISHED |
| Object | secondary figure illuminating Christ and Judas |
—
|
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: secondary figure illuminating Christ and Judas | Statement: [self-portrait of Caravaggio as a lantern-bearing figure, relationshipToMainSubject, secondary figure illuminating Christ and Judas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToMainSubject Context triple: [self-portrait of Caravaggio as a lantern-bearing figure, relationshipToMainSubject, secondary figure illuminating Christ and Judas]
-
A.
subjectRelation
chosen
Indicates that one entity stands in a specified relational role or connection to another entity.
-
B.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
C.
authorRelationshipToMainSubject
Indicates the nature of the connection or role the author has in relation to the main subject.
-
D.
termRelationTo
Indicates a general relational association between one term and another, without specifying the exact nature of that relationship.
-
E.
associatedWithSubject
Indicates a general relationship or connection between an entity and a subject, without specifying the exact nature of that association.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8c9e988190a84c9ca8a78b515f |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.