Triple
T38095849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War (personified) |
E951240
|
entity |
| Predicate | iconographicallyAssociatedWith |
P190013
|
FINISHED |
| Object | weapons |
—
|
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: weapons | Statement: [War (personified), iconographicallyAssociatedWith, weapons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconographicallyAssociatedWith Context triple: [War (personified), iconographicallyAssociatedWith, weapons]
-
A.
iconographicRepresentation
Indicates that one entity serves as a visual or symbolic depiction of another, typically in an artistic, religious, or cultural context.
-
B.
iconographicSignificance
Indicates the symbolic or representational meaning that something holds within a particular visual or iconographic context.
-
C.
iconographicVariantOf
Indicates that one representation is an alternative visual or stylistic depiction of the same subject as another representation.
-
D.
iconographicForm
Indicates the specific visual or symbolic representation that an entity takes within an image or artwork.
-
E.
iconographicallyFollows
Indicates that one element is depicted in a sequence after another within a visual or symbolic representation, following it in iconographic order.
- F. None of above. chosen
Provenance (4 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_69f76f04960c8190a83f14ae4c67f5bc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fc4747b06c8190a3ea5331f02eedad |
completed | May 7, 2026, 8:03 a.m. |
Created at: May 3, 2026, 4:21 p.m.