Triple
T25703917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brobdingnag |
E644535
|
entity |
| Predicate | moralCharacterOfSociety |
P140806
|
FINISHED |
| Object | relatively virtuous |
—
|
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: relatively virtuous | Statement: [Brobdingnag, moralCharacterOfSociety, relatively virtuous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralCharacterOfSociety Context triple: [Brobdingnag, moralCharacterOfSociety, relatively virtuous]
-
A.
moralTheme
Indicates that a work, event, or situation embodies or conveys a particular ethical lesson, value, or moral principle.
-
B.
moralInfluenceOnCharacter
Indicates that one entity exerts a moral influence that shapes, guides, or alters the character or ethical disposition of another entity.
-
C.
moralConcept
Indicates that one entity represents or embodies a moral or ethical concept in relation to another.
-
D.
moralTendency
chosen
Indicates a general inclination or propensity of an entity to act in ways judged as morally right or wrong.
-
E.
moralContent
Indicates that something contains, expresses, or conveys moral values, judgments, or ethical significance.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc0f911c819083ea7748550df1d0 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 9 p.m.