Triple
T4658215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resurrection (1927 film) |
E102460
|
entity |
| Predicate | sourceAuthorNationality |
P6689
|
FINISHED |
| Object | Russian |
—
|
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 | Statement: [Resurrection (1927 film), sourceAuthorNationality, Russian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceAuthorNationality Context triple: [Resurrection (1927 film), sourceAuthorNationality, Russian]
-
A.
authorNationality
chosen
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
B.
creatorNationality
Indicates that the creator of an entity has a specified national affiliation or citizenship.
-
C.
associatedComposerNationality
Indicates that there is a relationship between a composer and a specific nationality with which that composer is identified or associated.
-
D.
literaryOriginCountry
Indicates the country from which a literary work or literary tradition originally comes.
-
E.
authorOrigin
Indicates that an author has a specific place, region, or country as their origin or background.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63271a548190bd9662b69a45d9a5 |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.