Triple
T6165084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peace (sonnet) |
E137536
|
entity |
| Predicate | portraysSoldiersAs |
P18297
|
FINISHED |
| Object | chosen by God |
—
|
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: chosen by God | Statement: [Peace (sonnet), portraysSoldiersAs, chosen by God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysSoldiersAs Context triple: [Peace (sonnet), portraysSoldiersAs, chosen by God]
-
A.
warDepicted
Indicates that a work or representation portrays, illustrates, or otherwise depicts a particular war or armed conflict.
-
B.
portraysMilitaryUnit
Indicates that one entity visually or narratively represents, depicts, or shows a specific military unit.
-
C.
warFrontDepicted
Indicates that a particular war front or battlefield area is visually represented or shown in a depiction.
-
D.
prisonersOfWar
Indicates a relationship where certain individuals are held in custody by an enemy during an armed conflict as prisoners of war.
-
E.
oftenDepictedAs
chosen
Indicates that one entity is frequently represented or portrayed in the form, appearance, or symbolism of another entity.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d6225bc819097707be620681e7b |
completed | March 22, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c055f5b81481908819515cdc334ae6 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:17 p.m.