Triple
T18899436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eucharist (painting by Nicolas Poussin) |
E462295
|
entity |
| Predicate | depictsRite |
P1581
|
FINISHED |
| Object | celebration of the Eucharist |
—
|
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: celebration of the Eucharist | Statement: [Eucharist (painting by Nicolas Poussin), depictsRite, celebration of the Eucharist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsRite Context triple: [Eucharist (painting by Nicolas Poussin), depictsRite, celebration of the Eucharist]
-
A.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
depictsName
Indicates that something visually represents or portrays the name of an entity.
-
C.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
-
D.
depictionDetail
Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
-
E.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c5277d788190a565794f7bd0e608 |
completed | April 20, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.