Triple
T4535201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resurrection (1960 film) |
E107390
|
entity |
| Predicate | literaryMovementOfSource |
P56599
|
FINISHED |
| Object | Russian realism |
—
|
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: Russian realism | Statement: [Resurrection (1960 film), literaryMovementOfSource, Russian realism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryMovementOfSource Context triple: [Resurrection (1960 film), literaryMovementOfSource, Russian realism]
-
A.
literaryMovement
Indicates the artistic or intellectual movement in literature with which a work, author, or text is associated or to which it belongs.
-
B.
literarySource
Indicates that one entity serves as the written or literary origin, reference, or basis for another entity.
-
C.
literaryPeriodOfWork
chosen
Indicates the literary period or movement to which a particular work belongs.
-
D.
literaryInfluence
Indicates that one entity has had a significant impact on the style, themes, or development of another entity’s literary work.
-
E.
literaryTradition
Indicates a relationship where a work, practice, or expression belongs to, arises from, or participates in a particular established body of literary customs, styles, or conventions.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57a2301c8190aa59280a16750156 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521edd00819099dfccaa65dddd61 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.