Triple
T34564450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holstenwall |
E887432
|
entity |
| Predicate | settingOfPlotElement |
P1957
|
FINISHED |
| Object | Dr. Caligari’s somnambulist murders |
—
|
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: Dr. Caligari’s somnambulist murders | Statement: [Holstenwall, settingOfPlotElement, Dr. Caligari’s somnambulist murders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfPlotElement Context triple: [Holstenwall, settingOfPlotElement, Dr. Caligari’s somnambulist murders]
-
A.
settingOfAdventure
Indicates that a location or environment serves as the primary setting where an adventure takes place.
-
B.
settingOfFrameStory
Indicates that one entity serves as the narrative setting or contextual backdrop within which the frame story of another entity takes place.
-
C.
introducesPlotElement
Indicates that an entity brings a new story component, twist, or development into the narrative.
-
D.
setting
chosen
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
E.
impliedPlotElement
Indicates that one plot element suggests, hints at, or logically leads to the existence or occurrence of another plot element without stating it explicitly.
- 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: May 1, 2026, 2:02 a.m.