Triple
T23133701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B. R. Chopra |
E577249
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Insaaf Ka Tarazu |
—
|
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: Insaaf Ka Tarazu | Statement: [B. R. Chopra, notableWork, Insaaf Ka Tarazu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Insaaf Ka Tarazu Context triple: [B. R. Chopra, notableWork, Insaaf Ka Tarazu]
-
A.
Insaaf Ka Tarazu
chosen
Insaaf Ka Tarazu is a 1980 Hindi courtroom drama film, directed by B. R. Chopra, that tackles themes of sexual assault and justice and became notable for its bold social commentary.
-
B.
Insaaf
Insaaf is a Hindi film best known for featuring acclaimed Indian actress Dimple Kapadia in a prominent role.
-
C.
Insaaf: The Justice
Insaaf: The Justice is a 2004 Indian Hindi-language crime drama film featuring Sanjay Suri in a leading role, centered on themes of justice and political corruption.
-
D.
Jawab-e-Shikwa
Jawab-e-Shikwa is a celebrated Urdu poem by Allama Muhammad Iqbal that presents God's powerful response to the complaints of the Muslim community expressed in his earlier poem Shikwa.
-
E.
Sharafat
Sharafat is an Indian film for which Kamal Bose is particularly recognized for his acclaimed cinematography work.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e89cce881908727a94dbc00e031 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.