Triple
T4164812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | act utilitarianism |
E84419
|
entity |
| Predicate | moralCriterion |
P54211
|
FINISHED |
| Object | greatest balance of happiness over unhappiness |
—
|
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: greatest balance of happiness over unhappiness | Statement: [act utilitarianism, moralCriterion, greatest balance of happiness over unhappiness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralCriterion Context triple: [act utilitarianism, moralCriterion, greatest balance of happiness over unhappiness]
-
A.
moralConcept
Indicates that one entity represents or embodies a moral or ethical concept in relation to another.
-
B.
derivesMoralityFrom
Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
-
C.
moralTheme
Indicates that a work, event, or situation embodies or conveys a particular ethical lesson, value, or moral principle.
-
D.
moralExpectation
Indicates that one entity is expected, by moral or ethical standards, to behave in a certain way toward another entity or in a given situation.
-
E.
moralStatus
Indicates the ethical standing or degree of moral consideration that one entity has in relation to another.
- F. None of above. chosen
Provenance (4 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af0320775c8190b90d80f512060f1c |
completed | March 9, 2026, 5:28 p.m. |
Created at: March 9, 2026, 3:44 p.m.