Triple
T38599511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrando |
E934169
|
entity |
| Predicate | testedVirtue |
P46128
|
FINISHED |
| Object | fidelity of Dorabella |
—
|
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: fidelity of Dorabella | Statement: [Ferrando, testedVirtue, fidelity of Dorabella]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testedVirtue Context triple: [Ferrando, testedVirtue, fidelity of Dorabella]
-
A.
testsVirtueOf
chosen
Indicates that one entity challenges or evaluates the moral character or virtue of another entity.
-
B.
vowedVirtue
Indicates that an entity has formally promised or committed to uphold a particular virtue or moral quality.
-
C.
virtueTrend
Indicates how a particular virtue or moral quality changes or develops over time in relation to an entity or context.
-
D.
virtuePromoted
Indicates that one entity actively encourages, supports, or increases the presence or practice of a particular virtue in another entity or context.
-
E.
moralTest
Indicates a situation or action in which an entity’s moral principles, values, or ethical integrity are challenged or evaluated.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.