Triple
T37202064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multikino |
E922062
|
entity |
| Predicate | showsLanguageVersions |
P35567
|
FINISHED |
| Object | Polish-dubbed films |
—
|
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: Polish-dubbed films | Statement: [Multikino, showsLanguageVersions, Polish-dubbed films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsLanguageVersions Context triple: [Multikino, showsLanguageVersions, Polish-dubbed films]
-
A.
languageVersions
Indicates a relationship where one entity represents a specific version or variant of a language associated with another entity.
-
B.
languageVariants
Indicates that one language form is a variant or alternative version of another language.
-
C.
languageVersionTitle
Indicates the title or name assigned to a specific version or edition of a language.
-
D.
officialLanguageVersion
Indicates that one language variant is the officially recognized form or version used for formal or administrative purposes in relation to another language or context.
-
E.
hasLanguages
chosen
Indicates that an entity is associated with one or more languages it uses, supports, or is expressed in.
- 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.