Triple
T24430969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander Shepard |
E616000
|
entity |
| Predicate | moralitySystem |
P145459
|
FINISHED |
| Object |
Paragon
Paragon is the virtuous, compassionate morality path in the Mass Effect series, emphasizing altruism, diplomacy, and selflessness in Commander Shepard’s choices.
|
E1635352
|
NE FINISHED |
How this triple was built (3 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]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Paragon Triple: [Commander Shepard, moralitySystem, Paragon]
Generated description
Paragon is the virtuous, compassionate morality path in the Mass Effect series, emphasizing altruism, diplomacy, and selflessness in Commander Shepard’s choices.
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 (6 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fe3750a54819083bda5a3828bb0ed |
completed | May 22, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_6a0fe4f9f0448190bbd9e0b860335482 |
completed | May 22, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0fe620e40c81909973369ffb8e9dfc |
completed | May 22, 2026, 5:14 a.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:16 a.m.