Triple
T971506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanny McPhee |
E20953
|
entity |
| Predicate | settingOfStories |
P1957
|
FINISHED |
| Object | rural England |
—
|
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: rural England | Statement: [Nanny McPhee, settingOfStories, rural England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfStories Context triple: [Nanny McPhee, settingOfStories, rural England]
-
A.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
B.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
C.
numberOfStories
Indicates the total count of levels or floors that a structure or building has.
-
D.
setting
chosen
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
E.
storyFunction
Indicates that one entity serves a particular narrative role or function within the story structure of another entity.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b44aa6088190a90c44a8f694ec41 |
completed | March 1, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a6aa2c8190aebba71320ab678f |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.