Triple
T24430969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander Shepard |
E616000
|
entity |
| Predicate | moralitySystem |
P145459
|
FINISHED |
| Object | Paragon |
—
|
NE NERFINISHED |
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: Paragon | Statement: [Commander Shepard, moralitySystem, Paragon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moralitySystem Context triple: [Commander Shepard, moralitySystem, Paragon]
-
A.
moralOutcome
Indicates the moral or ethical status resulting from an action, event, or decision, such as whether it is judged right, wrong, good, or bad.
-
B.
derivesMoralityFrom
Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
-
C.
hasMoralCode
Indicates that an entity adheres to or is guided by a set of moral principles or ethical rules.
-
D.
moralTendency
Indicates a general inclination or propensity of an entity to act in ways judged as morally right or wrong.
-
E.
hasMoralStrategy
chosen
Indicates that an entity employs or follows a particular approach or set of principles for making moral or ethical decisions.
- 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_69e2d7eadb248190a867130fe45f0388 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29782a4a0819087cb7ba399371520 |
completed | April 29, 2026, 11:42 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:16 a.m.