Triple
T29245369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raavanan |
E741425
|
entity |
| Predicate | hasTeluguDub |
P83674
|
FINISHED |
| Object | Villain |
—
|
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: Villain | Statement: [Raavanan, hasTeluguDub, Villain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeluguDub Context triple: [Raavanan, hasTeluguDub, Villain]
-
A.
dubbedFor
Indicates that one media work has been voice-dubbed to create a version suitable for another language, region, or audience.
-
B.
teluguRemakeTitle
Indicates that the subject work is a Telugu-language remake and the object is the title of that Telugu remake.
-
C.
languageDubbedIn
chosen
Indicates that the content’s audio has been dubbed into the specified language.
-
D.
hasTheka
Indicates a relationship where one entity possesses, is equipped with, or features a theka (a specific rhythmic pattern or accompaniment).
-
E.
hasDUB
Indicates that one entity possesses or is associated with a deubiquitinating enzyme (DUB) activity or component.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 28, 2026, 12:32 p.m.