Triple
T30200259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Part II: The Country of the Saints |
E767761
|
entity |
| Predicate | mainAntagonisticGroup |
P81119
|
FINISHED |
| Object | fanatical Mormon elders |
—
|
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: fanatical Mormon elders | Statement: [Part II: The Country of the Saints, mainAntagonisticGroup, fanatical Mormon elders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainAntagonisticGroup Context triple: [Part II: The Country of the Saints, mainAntagonisticGroup, fanatical Mormon elders]
-
A.
hasAntagonistGroup
Indicates that an entity is opposed or challenged by a specific group acting as its antagonist.
-
B.
antagonistOf
Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
-
C.
villainOrganization
Indicates that an entity is an organization characterized as antagonistic, criminal, or evil within a given context or narrative.
-
D.
primaryAntagonists
chosen
Indicates that the referenced entities serve as the main opposing or adversarial forces in relation to a specified subject or narrative.
-
E.
primaryAntagonistType
Indicates the role or category of the main opposing force or adversary that serves as the central source of conflict.
- 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_69f2247db1108190835c0727c97637c3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 29, 2026, 7:30 p.m.