Triple
T12937005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Sanderson |
E309536
|
entity |
| Predicate | hasEthicalOrPoliticalView |
P31611
|
FINISHED |
| Object | secularism |
—
|
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: secularism | Statement: [Terry Sanderson, hasEthicalOrPoliticalView, secularism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthicalOrPoliticalView Context triple: [Terry Sanderson, hasEthicalOrPoliticalView, secularism]
-
A.
hasEthicalPosition
Indicates that an entity holds or is associated with a particular ethical stance, viewpoint, or normative position on moral issues.
-
B.
hasIdeologicalPosition
chosen
Indicates that an entity holds, endorses, or is associated with a particular ideological stance or viewpoint.
-
C.
hasMoralPerspective
Indicates that an entity holds or applies a particular moral or ethical viewpoint in evaluating actions, situations, or other entities.
-
D.
hasEthicalDimension
Indicates that the relationship, action, or situation involves moral considerations, value judgments, or ethical implications.
-
E.
hasEthicalIdeal
Indicates that an entity upholds or is guided by a particular ethical standard, principle, or ideal.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.