Triple
T16974906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prakash Jha |
E411784
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Aarakshan |
E1242715
|
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: Aarakshan | Statement: [Prakash Jha, directed, Aarakshan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aarakshan Context triple: [Prakash Jha, directed, Aarakshan]
-
A.
Aarakshan
chosen
Aarakshan is a 2011 Indian socio-political drama film directed by Prakash Jha that explores the controversies and complexities surrounding caste-based reservations in education.
-
B.
Raakh
Raakh is a 1989 Indian neo-noir crime drama film, acclaimed for its gritty storytelling and performances, and regarded as a cult classic in Hindi cinema.
-
C.
Tarpeena
Tarpeena is a small rural town and locality in South Australia, known historically for its timber and forestry industries.
-
D.
Aakrosh
Aakrosh is a critically acclaimed 1980 Indian Hindi-language crime drama film directed by Govind Nihalani, known for its powerful social commentary and intense performances.
-
E.
Guzaarish
Guzaarish is a 2010 Indian drama film directed by Sanjay Leela Bhansali that explores euthanasia through the story of a quadriplegic magician turned radio jockey.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18300c8819080c8bf19962754ba |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc0b3d6c8190bc44afdd7a5a55f6 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:31 a.m.