Triple
T38294235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leshiy |
E1022445
|
entity |
| Predicate | moralAlignmentInFolklore |
P22459
|
FINISHED |
| Object | ambivalent |
—
|
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: ambivalent | Statement: [Leshiy, moralAlignmentInFolklore, ambivalent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralAlignmentInFolklore Context triple: [Leshiy, moralAlignmentInFolklore, ambivalent]
-
A.
moralOfMyth
Indicates the underlying lesson, ethical teaching, or message conveyed by a myth.
-
B.
hasMoralArchetype
Indicates that an entity exemplifies or is characterized by a particular moral pattern, role, or ethical archetype.
-
C.
characterAlignment
chosen
Indicates the moral or ethical stance a character holds, typically along axes such as good–evil and lawful–chaotic.
-
D.
derivesMoralityFrom
Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
-
E.
mythologicalCategory
Indicates that one entity is classified as belonging to the mythological type, group, or category represented by the other 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.