Triple
T1372495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Veteran in a New Field |
E30143
|
entity |
| Predicate | depictsSymbolically |
P129
|
FINISHED |
| Object | the Grim Reaper through the scythe motif |
—
|
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: the Grim Reaper through the scythe motif | Statement: [The Veteran in a New Field, depictsSymbolically, the Grim Reaper through the scythe motif]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsSymbolically Context triple: [The Veteran in a New Field, depictsSymbolically, the Grim Reaper through the scythe motif]
-
A.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
C.
depictsName
Indicates that something visually represents or portrays the name of an entity.
-
D.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
E.
depictsClass
Indicates that one entity visually represents or portrays a particular class or category of entities.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2f4889881908103473a0173e23f |
completed | March 1, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69a4befb08b88190be966fa1aadd4bcd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:57 p.m.