Triple
T14635499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luke |
E343593
|
entity |
| Predicate | drivesPlotPoint |
P36867
|
FINISHED |
| Object | Margaret’s crisis of faith |
—
|
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: Margaret’s crisis of faith | Statement: [Luke, drivesPlotPoint, Margaret’s crisis of faith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drivesPlotPoint Context triple: [Luke, drivesPlotPoint, Margaret’s crisis of faith]
-
A.
drivesPlotElement
chosen
Indicates that one element of the narrative is a primary cause or motivator for the development, progression, or outcome of another plot element.
-
B.
drives
Indicates that one entity operates and controls the movement of a vehicle or similar conveyance transporting themselves or others.
-
C.
drivesMad
Indicates that one entity causes another entity to become extremely annoyed, frustrated, or mentally unsettled.
-
D.
drivesTheme
Indicates that one element is the primary motivating force or underlying cause that shapes, propels, or organizes a particular theme.
-
E.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ab9578819085b4cf7244d30d87 |
completed | April 14, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:26 a.m.