Triple
T26630367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Pevensie |
E668473
|
entity |
| Predicate | religiousAllegoryRole |
P181396
|
FINISHED |
| Object | Christian knight-king archetype |
—
|
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 knight-king archetype | Statement: [Peter Pevensie, religiousAllegoryRole, Christian knight-king archetype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousAllegoryRole Context triple: [Peter Pevensie, religiousAllegoryRole, Christian knight-king archetype]
-
A.
religiousTextRole
Indicates the specific role or function that a religious text has in relation to a person, group, practice, or tradition.
-
B.
religiousAndSpiritualRole
Indicates that an entity holds or fulfills a religious or spiritual function, office, or responsibility in relation to another entity or context.
-
C.
roleInTheProphecy
Indicates that an entity holds a specific function, status, or significance within the context of a particular prophecy.
-
D.
religiousOrMythicFigure
Indicates that the subject is regarded as a significant figure within a religious tradition or mythological system.
-
E.
allegoricalRoleInInferno
Indicates a symbolic or allegorical function that an entity fulfills within the narrative framework of Dante’s Inferno.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69f77648979c8190b6cdbb835ab8987c |
completed | May 3, 2026, 4:22 p.m. |
Created at: April 27, 2026, 2:24 a.m.