Triple
T8900666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Variants of Dives and Lazarus |
E211920
|
entity |
| Predicate | hasMovementOrSection |
P26409
|
FINISHED |
| Object | Introduction and Theme |
—
|
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: Introduction and Theme | Statement: [Five Variants of Dives and Lazarus, hasMovementOrSection, Introduction and Theme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMovementOrSection Context triple: [Five Variants of Dives and Lazarus, hasMovementOrSection, Introduction and Theme]
-
A.
hasMovementStructure
Indicates that one entity possesses or is characterized by a particular structure or pattern of movement.
-
B.
hasSubmovement
chosen
Indicates that a movement or action is composed of, or contains within it, a smaller constituent movement.
-
C.
hasImportantMovement
Indicates that an entity is associated with a movement (e.g., social, artistic, political) that is considered significant or influential.
-
D.
hasMovementType
Indicates the type or mode of movement associated with an entity, such as how it moves or is transported.
-
E.
hasSect
Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6428ffc48190814f6b865961dbd1 |
completed | April 1, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2bfb38819083d5eb1af8ccf4d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:54 p.m.