Triple
T28657358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Questions, Real Answers |
E725368
|
entity |
| Predicate | hasApologeticApproach |
P180942
|
FINISHED |
| Object | defense of Christian theism |
—
|
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: defense of Christian theism | Statement: [Hard Questions, Real Answers, hasApologeticApproach, defense of Christian theism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApologeticApproach Context triple: [Hard Questions, Real Answers, hasApologeticApproach, defense of Christian theism]
-
A.
hasApologeticFunction
Indicates that something serves the role of expressing regret, remorse, or an apology in a given context.
-
B.
apologeticMethod
Indicates the manner or approach by which an apology is expressed or delivered from one entity to another.
-
C.
apologeticFunction
Indicates that one entity expresses regret or remorse to another, acknowledging fault or seeking forgiveness for an action or outcome.
-
D.
apologeticPurpose
Indicates that an action or expression is performed with the intention of apologizing or expressing regret.
-
E.
apologeticTheme
Indicates that the relationship or action centers on expressing apology, remorse, or regret toward another entity.
- F. None of above. chosen
Provenance (4 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
| PDg | Predicate description generation | batch_69f75dc140c4819085063d6c4c36ca61 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 28, 2026, 4:56 a.m.