Triple
T38681355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Peasant Wedding |
E943898
|
entity |
| Predicate | depictsFood |
P136283
|
FINISHED |
| Object | porridge or soup on wooden platters |
—
|
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: porridge or soup on wooden platters | Statement: [The Peasant Wedding, depictsFood, porridge or soup on wooden platters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsFood Context triple: [The Peasant Wedding, depictsFood, porridge or soup on wooden platters]
-
A.
foodRelatedMotif
chosen
Indicates a recurring theme, symbol, or pattern in which food plays a central role in the relationship or action between entities.
-
B.
intendedFood
Indicates that one entity is the food item that another entity plans or is meant to eat or consume.
-
C.
viewOnFood
Indicates a person's general attitude, opinion, or perspective regarding food.
-
D.
imageDepictedIn
Indicates that a particular image is shown, represented, or included within another resource or context.
-
E.
typicallyDepicts
Indicates that one entity is most commonly or characteristically portrayed or represented by the other in depictions or images.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: May 3, 2026, 4:33 p.m.