Triple
T874357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Karenina |
E18882
|
entity |
| Predicate | placeInCanon |
P977
|
FINISHED |
| Object | considered one of the greatest novels of world literature |
—
|
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: considered one of the greatest novels of world literature | Statement: [Anna Karenina, placeInCanon, considered one of the greatest novels of world literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeInCanon Context triple: [Anna Karenina, placeInCanon, considered one of the greatest novels of world literature]
-
A.
inCanonOf
chosen
Indicates that one entity is officially recognized as part of the established canon or authoritative body of works associated with another entity.
-
B.
canonizedBy
Indicates that an entity has been officially declared a saint or holy figure by a specified religious authority.
-
C.
canonizedAs
Indicates that an authority, typically a religious institution, has formally declared someone to be a saint or holy figure.
-
D.
placeInSeries
Indicates the position or order that something occupies within a sequence or series.
-
E.
hasFictionalUniverseElement
Indicates that one entity is a component, feature, or constituent part of the fictional universe represented by the other 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac992d8c819088800f5a713fa7a4 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8b9b5c81909ac71904f8b8b5cd |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.