Triple
T13967775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | self-portrait of Caravaggio as a lantern-bearing figure |
E335970
|
entity |
| Predicate | functionInComposition |
P46726
|
FINISHED |
| Object | illumination of arrest scene |
—
|
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: illumination of arrest scene | Statement: [self-portrait of Caravaggio as a lantern-bearing figure, functionInComposition, illumination of arrest scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionInComposition Context triple: [self-portrait of Caravaggio as a lantern-bearing figure, functionInComposition, illumination of arrest scene]
-
A.
functionInWork
chosen
Indicates that a particular function, role, or operation is performed, utilized, or occurs within the context of a specific work or creation.
-
B.
functionInPractice
Indicates that an entity serves a particular role or performs a specific function in actual use or real-world practice.
-
C.
combinedFunction
Indicates that multiple functions or operations are brought together and applied as a single, unified function or process.
-
D.
functionInSystem
Indicates that an entity serves a specific role or performs a particular function within a given system.
-
E.
functionInText
Indicates that a text segment serves a specific rhetorical or structural function within a larger text.
- 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.