Triple
T16528240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravi Basrur |
E401493
|
entity |
| Predicate | composedForFilm |
P29643
|
FINISHED |
| Object | Kantara |
E1218758
|
NE 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: Kantara | Statement: [Ravi Basrur, composedForFilm, Kantara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kantara Context triple: [Ravi Basrur, composedForFilm, Kantara]
-
A.
Kantara
chosen
Kantara is a 2022 Indian Kannada-language action thriller film that blends folklore, rural politics, and supernatural elements, directed by and starring Rishab Shetty.
-
B.
Kadaru
Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
-
C.
Kammala
Kammala was a historical figure known primarily as one of the children of Zhenjin, the Crown Prince of the Yuan dynasty and son of Kublai Khan.
-
D.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
E.
Arakere
Arakere is a village in the Indian state of Karnataka known historically as the site of the Battle of Arakere during the Fourth Anglo-Mysore War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed57be481908625d4c5aab0940c |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067a913388190afebe40fcc42e731 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:14 a.m.