Triple
T13403163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henriette de Mortsauf |
E319884
|
entity |
| Predicate | moralFunctionInWork |
P46472
|
FINISHED |
| Object | moral guide for Félix de Vandenesse |
—
|
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: moral guide for Félix de Vandenesse | Statement: [Henriette de Mortsauf, moralFunctionInWork, moral guide for Félix de Vandenesse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralFunctionInWork Context triple: [Henriette de Mortsauf, moralFunctionInWork, moral guide for Félix de Vandenesse]
-
A.
moralPositionInWork
Indicates the moral or ethical stance that an entity holds or expresses within a particular work (such as a text, artwork, or performance).
-
B.
hasMoralFunction
chosen
Indicates that an entity serves or fulfills a role related to moral or ethical considerations.
-
C.
moralCriterion
Indicates that something is being evaluated or classified according to a standard of moral judgment or ethical rightness.
-
D.
moralRealization
Indicates the recognition or coming to understand a moral truth, principle, or ethical implication about a situation or action.
-
E.
moralConcept
Indicates that one entity represents or embodies a moral or ethical concept in relation to another.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4ae47081909b68a9aaa62fd4c7 |
completed | April 12, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.