Triple
T25235446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DVV Entertainment |
E632323
|
entity |
| Predicate | RRRLanguage |
P130300
|
FINISHED |
| Object | Telugu |
—
|
NE NERFINISHED |
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: Telugu | Statement: [DVV Entertainment, RRRLanguage, Telugu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RRRLanguage Context triple: [DVV Entertainment, RRRLanguage, Telugu]
-
A.
RLanguageIs
chosen
Indicates that one entity is the language associated with, used by, or expressed in relation to another entity.
-
B.
termLanguage
Indicates the language in which a given term is expressed or defined.
-
C.
languageName
Indicates the specific name assigned to a language in the relationship.
-
D.
ribbonLanguage
Indicates that something is expressed, labeled, or represented using a specific ribbon-based notation or language.
-
E.
associatedLanguageRegulator
Indicates that one entity serves as the official or recognized regulatory body responsible for overseeing, standardizing, or managing the language associated with another 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47df954cc8190ab223daad550fd0d |
completed | May 1, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 1:07 p.m.