Triple
T3214047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spinozism |
E67347
|
entity |
| Predicate | hasEthicalGoal |
P42577
|
FINISHED |
| Object | overcoming passive affects |
—
|
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: overcoming passive affects | Statement: [Spinozism, hasEthicalGoal, overcoming passive affects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthicalGoal Context triple: [Spinozism, hasEthicalGoal, overcoming passive affects]
-
A.
hasEthicalDimension
Indicates that the relationship, action, or situation involves moral considerations, value judgments, or ethical implications.
-
B.
hasMoralPurpose
chosen
Indicates that an entity, action, or decision is guided by or oriented toward ethical values, principles, or morally significant goals.
-
C.
hasEthicalRole
Indicates that an entity holds a position, function, or responsibility defined in terms of ethical duties, norms, or moral obligations in relation to another entity or context.
-
D.
hasEthicalAssessment
Indicates that an entity has been evaluated according to ethical criteria or standards.
-
E.
hasCorporateEthos
Indicates that an entity embodies, promotes, or is characterized by a particular set of shared corporate values, principles, and cultural norms.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaabd01d48190be0dc610b9987a25 |
completed | March 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69ad9e09b83881908801d79c3d9254f9 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.