Triple
T30200278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Part II: The Country of the Saints |
E767761
|
entity |
| Predicate | workTypeWithinNovel |
P170194
|
FINISHED |
| Object | embedded narrative |
—
|
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: embedded narrative | Statement: [Part II: The Country of the Saints, workTypeWithinNovel, embedded narrative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTypeWithinNovel Context triple: [Part II: The Country of the Saints, workTypeWithinNovel, embedded narrative]
-
A.
worksForInNovel
Indicates that one entity is employed by or serves another entity within the fictional context of a specific novel.
-
B.
workInFiction
Indicates that one entity is a fictional work in which the other entity appears or is set.
-
C.
projectInNovel
Indicates that a specific project appears within, is described in, or is otherwise part of the content of a particular novel.
-
D.
fictionalType
Indicates that one entity is a fictional or imaginary type or category of the other entity.
-
E.
workCharacterType
Indicates that a work involves or features a character of a specified type or role.
- F. None of above. chosen
Provenance (4 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_69f2247db1108190835c0727c97637c3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 29, 2026, 7:30 p.m.