Triple
T16527889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumar Shahani |
E401486
|
entity |
| Predicate | directorOf |
P537
|
FINISHED |
| Object | Tarang |
E1218713
|
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: Tarang | Statement: [Kumar Shahani, directorOf, Tarang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarang Context triple: [Kumar Shahani, directorOf, Tarang]
-
A.
Tarang
chosen
Tarang is a 1984 Indian art film directed by Kumar Shahani, noted for its experimental narrative style and exploration of class conflict and industrial capitalism.
-
B.
Tarang
Tarang is a prominent musical composition by Indian tabla virtuoso Sandeep Das, showcasing his innovative approach to Indian classical rhythm.
-
C.
Vidhaata
Vidhaata is a 1982 Hindi action drama film directed by Subhash Ghai, known for its star-studded cast, popular music, and commercial success in Indian cinema.
-
D.
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.
-
E.
Tarpeena
Tarpeena is a small rural town and locality in South Australia, known historically for its timber and forestry industries.
- 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_6a0067a7616c8190af486bef3331e115 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:14 a.m.