Triple
T394663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pearl of Orr's Island |
E8955
|
entity |
| Predicate | hasMoralFocus |
P1192
|
FINISHED |
| Object | Christian ethics |
—
|
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: Christian ethics | Statement: [The Pearl of Orr's Island, hasMoralFocus, Christian ethics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMoralFocus Context triple: [The Pearl of Orr's Island, hasMoralFocus, Christian ethics]
-
A.
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.
-
B.
virtue
Indicates that an entity possesses or exemplifies a morally good quality, trait, or behavior.
-
C.
hasEthicalTeaching
chosen
Indicates that one entity provides, promotes, or embodies instruction or guidance related to ethical principles, values, or moral conduct for another entity.
-
D.
hasEthicalAssessment
Indicates that an entity has been evaluated according to ethical criteria or standards.
-
E.
hasSpiritualDimension
Indicates that something possesses or involves a non-material, spiritual, or transcendent aspect or quality.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec77a8a08190b6f96373aa8c1346 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96bd3848190a66ca14dfbd26da5 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.