Triple
T29427654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benny Silver |
E746337
|
entity |
| Predicate | followsEthicalAlignment |
P58111
|
FINISHED |
| Object | generally aligned with John Luther |
—
|
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: generally aligned with John Luther | Statement: [Benny Silver, followsEthicalAlignment, generally aligned with John Luther]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsEthicalAlignment Context triple: [Benny Silver, followsEthicalAlignment, generally aligned with John Luther]
-
A.
hasEthicalIdeal
Indicates that an entity upholds or is guided by a particular ethical standard, principle, or ideal.
-
B.
hasEthicalStandard
chosen
Indicates that an entity adheres to, follows, or is governed by a specified set of ethical principles or standards.
-
C.
hasEthicalDimension
Indicates that the relationship, action, or situation involves moral considerations, value judgments, or ethical implications.
-
D.
hasEthicalPosition
Indicates that an entity holds or is associated with a particular ethical stance, viewpoint, or normative position on moral issues.
-
E.
basisOfEthics
Indicates that one entity serves as the foundational principle, source, or justification for another entity’s ethical views, norms, or system.
- 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_69f0a7a06e0081908add494075912eb4 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 28, 2026, 3:10 p.m.