Triple
T36134127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friendly Persuasion universe |
E1045113
|
entity |
| Predicate | primaryEthicalTheme |
P25343
|
FINISHED |
| Object | pacifism |
—
|
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: pacifism | Statement: [Friendly Persuasion universe, primaryEthicalTheme, pacifism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryEthicalTheme Context triple: [Friendly Persuasion universe, primaryEthicalTheme, pacifism]
-
A.
ethicalPrinciples
Indicates a relationship where certain actions, decisions, or agents are governed, guided, or constrained by specified ethical rules, norms, or moral standards.
-
B.
basisOfEthics
Indicates that one entity serves as the foundational principle, source, or justification for another entity’s ethical views, norms, or system.
-
C.
moralTheme
chosen
Indicates that a work, event, or situation embodies or conveys a particular ethical lesson, value, or moral principle.
-
D.
functionInEthics
Indicates that something serves a particular role, purpose, or contribution within the domain of ethics or ethical theory.
-
E.
positionOnEthics
Indicates a stance, viewpoint, or opinion that an entity holds regarding ethical principles, issues, or practices.
- 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.