Triple
T35435896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Saxton |
E1024203
|
entity |
| Predicate | characterOriginWorkType |
P34184
|
FINISHED |
| Object | novel |
—
|
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: novel | Statement: [George Saxton, characterOriginWorkType, novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterOriginWorkType Context triple: [George Saxton, characterOriginWorkType, novel]
-
A.
genreOfOriginWork
Indicates that a work is classified under a particular genre based on the genre of its original source work.
-
B.
characterOrigin
chosen
Indicates the source, background, or initial context from which a character originates.
-
C.
basedOnCharacterFromWork
Indicates that one entity is derived from, inspired by, or modeled after a character that appears in another creative work.
-
D.
portrayedInWorkType
Indicates that an entity is depicted or represented within a work of a specified type (such as a film, book, painting, or other creative medium).
-
E.
fictionalUniverseWorkType
Indicates the type or category of creative work (e.g., book, film, game) in which a given fictional universe appears or is expressed.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff9d9cb4f8819083682be3c483b599 |
completed | May 9, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69ff9c38bf9c8190bbb85b32f3ae3d2e |
completed | May 9, 2026, 8:42 p.m. |
Created at: May 3, 2026, 4:04 p.m.