Triple
T8332481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warrant: The Current Debate |
E195105
|
entity |
| Predicate | setsStageFor |
P82145
|
FINISHED |
| Object | Plantinga’s proper function account of warrant |
—
|
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: Plantinga’s proper function account of warrant | Statement: [Warrant: The Current Debate, setsStageFor, Plantinga’s proper function account of warrant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsStageFor Context triple: [Warrant: The Current Debate, setsStageFor, Plantinga’s proper function account of warrant]
-
A.
servesStage
Indicates that an entity functions as a stage or phase within a larger process, sequence, or workflow.
-
B.
usesStage
Indicates that one entity employs or operates on another entity at a particular phase or stage within a process or workflow.
-
C.
usedStage
Indicates that an entity made use of a particular stage or phase within a process, workflow, or lifecycle.
-
D.
stageConfiguration
Indicates the specific arrangement or setup of components, elements, or conditions at a particular stage within a process or system.
-
E.
stageName
Indicates that one entity is the performance or professional name used by 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fbce4048190838b5bca8e7b219c |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:57 p.m.