Triple
T4848232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Dionysus mosaic |
E108344
|
entity |
| Predicate | depictsAttributeOfDionysus |
P53700
|
FINISHED |
| Object | association with wild animals |
—
|
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: association with wild animals | Statement: [House of Dionysus mosaic, depictsAttributeOfDionysus, association with wild animals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsAttributeOfDionysus Context triple: [House of Dionysus mosaic, depictsAttributeOfDionysus, association with wild animals]
-
A.
depictsAttribute
chosen
Indicates that one entity visually represents or illustrates a specific attribute or characteristic of another entity.
-
B.
attributeOfDeity
Indicates that something is a characteristic, quality, or property belonging to a deity.
-
C.
depictsName
Indicates that something visually represents or portrays the name of an entity.
-
D.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
E.
AphroditeBribe
Indicates that one entity (Aphrodite) offers or gives a persuasive incentive or reward to another entity in order to influence their decision or allegiance.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.