Triple
T34453189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caravaggio’s “Flagellation of Christ” (attributed) |
E884430
|
entity |
| Predicate | portraysMomentOf |
P6686
|
FINISHED |
| Object | scourging of Jesus |
—
|
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: scourging of Jesus | Statement: [Caravaggio’s “Flagellation of Christ” (attributed), portraysMomentOf, scourging of Jesus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysMomentOf Context triple: [Caravaggio’s “Flagellation of Christ” (attributed), portraysMomentOf, scourging of Jesus]
-
A.
narrativeMoment
Indicates the specific point or phase within a narrative at which an event, action, or relationship occurs.
-
B.
portraysEvent
chosen
Indicates that one entity depicts, represents, or illustrates a particular event.
-
C.
portraysActivity
Indicates that one entity visually or narratively represents another entity engaged in a particular activity.
-
D.
presentationMoment
Indicates the specific time or occasion at which something is formally presented or delivered.
-
E.
portraysState
Indicates that one entity visually or symbolically represents or depicts the condition, status, or situation of another entity.
- 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_69f349c607688190b553539d14901a35 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff109695008190a22b47ef8be2e3f9 |
completed | May 9, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69ff0f243ea88190970d2c520b55c816 |
completed | May 9, 2026, 10:40 a.m. |
Created at: May 1, 2026, 2 a.m.