Triple
T27727980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | stoning of Paul |
E697352
|
entity |
| Predicate | hasOutcomeForPaul |
P59870
|
FINISHED |
| Object | continued preaching of the gospel |
—
|
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: continued preaching of the gospel | Statement: [stoning of Paul, hasOutcomeForPaul, continued preaching of the gospel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutcomeForPaul Context triple: [stoning of Paul, hasOutcomeForPaul, continued preaching of the gospel]
-
A.
outcomeOf
chosen
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
B.
hasOutcomeDeterminedBy
Indicates that the result or consequence of one entity is decided, controlled, or directly influenced by another entity.
-
C.
hasOutcomeForPirithous
Indicates that an action, event, or decision results in a specific consequence or effect for Pirithous.
-
D.
hasConclusion
Indicates that something leads to, results in, or is associated with a particular conclusion.
-
E.
hasProposedOutcome
Indicates that an action, decision, or process is associated with a suggested or anticipated result that is being put forward but not yet realized or confirmed.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 27, 2026, 3:10 p.m.