Triple
T34565538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Chipping |
E887465
|
entity |
| Predicate | legacyWithinStory |
P167485
|
FINISHED |
| Object | remembered fondly by generations of pupils |
—
|
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: remembered fondly by generations of pupils | Statement: [Mr. Chipping, legacyWithinStory, remembered fondly by generations of pupils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legacyWithinStory Context triple: [Mr. Chipping, legacyWithinStory, remembered fondly by generations of pupils]
-
A.
legacyInNarrative
chosen
Indicates that an entity’s enduring impact, reputation, or influence is portrayed or explored within a particular narrative or story.
-
B.
originStoryIncludes
Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
-
C.
coreNarrative
Indicates the primary storyline or central sequence of events that forms the main thread of a narrative.
-
D.
storyWorld
Indicates the fictional universe or narrative setting within which a story, event, or character exists or takes place.
-
E.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
- 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_69f72065f4988190931aac5d785e7f64 |
completed | May 3, 2026, 10:16 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.