Triple
T6290128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tolstoy |
E140994
|
entity |
| Predicate | hasNotableLiteraryLine |
P53846
|
FINISHED |
| Object | Leo Tolstoy branch |
—
|
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: Leo Tolstoy branch | Statement: [Tolstoy, hasNotableLiteraryLine, Leo Tolstoy branch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableLiteraryLine Context triple: [Tolstoy, hasNotableLiteraryLine, Leo Tolstoy branch]
-
A.
hasNotableWriter
Indicates that an entity is associated with a writer who is recognized as significant or distinguished in some notable way.
-
B.
hasLiterarySignificance
Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
-
C.
hasLinerNotesWrittenBy
Indicates that the liner notes of an item (such as an album or release) are authored by a specified agent.
-
D.
hasLiteraryConnection
Indicates a relationship in which one entity is connected to another through a literary link, such as authorship, reference, influence, adaptation, or shared appearance in written works.
-
E.
hasNotablePhrase
chosen
Indicates that an entity is associated with a specific phrase or expression that is considered notable or characteristic of it.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641ca91481909d49b700cef93ffe |
completed | March 22, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69c060df0d8881908215575862ef6831 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:26 p.m.