Triple
T22398347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sextus Tarquinius |
E553693
|
entity |
| Predicate | moralSymbolOf |
P53261
|
FINISHED |
| Object | abuse of royal power |
—
|
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: abuse of royal power | Statement: [Sextus Tarquinius, moralSymbolOf, abuse of royal power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralSymbolOf Context triple: [Sextus Tarquinius, moralSymbolOf, abuse of royal power]
-
A.
moralExemplarOf
Indicates that one entity serves as a model or standard of moral behavior for another entity or group.
-
B.
moralAssociation
Indicates a perceived ethical or moral connection between entities, such as one influencing or reflecting the moral character, values, or judgment of the other.
-
C.
moralConcept
chosen
Indicates that one entity represents or embodies a moral or ethical concept in relation to another.
-
D.
moralTheme
Indicates that a work, event, or situation embodies or conveys a particular ethical lesson, value, or moral principle.
-
E.
moralRealization
Indicates the recognition or coming to understand a moral truth, principle, or ethical implication about a situation or action.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15861ac248190a967f534feea0265 |
completed | April 29, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69e73015484c8190a9a0b9f554b61a81 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:46 p.m.