Triple
T21110649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadashiv Amrapurkar |
E520161
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Aankhen |
—
|
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: Aankhen | Statement: [Sadashiv Amrapurkar, notableWork, Aankhen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aankhen Context triple: [Sadashiv Amrapurkar, notableWork, Aankhen]
-
A.
Aankhen
chosen
Aankhen is a 2002 Indian heist thriller film, directed by Vipul Amrutlal Shah, about a disgruntled bank employee who trains three blind men to rob a bank.
-
B.
Kaalpurush
Kaalpurush is an acclaimed Bengali film by director Buddhadeb Dasgupta that explores memory, time, and human relationships through a poetic, surreal narrative.
-
C.
Khalnayak
Khalnayak is a 1993 Indian Hindi-language action thriller film, directed by Subhash Ghai, known for its iconic villainous lead role and popular soundtrack.
-
D.
Zanjeer
Zanjeer is a landmark 1973 Indian action film that transformed Amitabh Bachchan into Bollywood’s iconic “angry young man” and helped redefine the Hindi film hero archetype.
-
E.
Ghum
Ghum is a small hill station in West Bengal, India, known for its high-altitude railway station on the Darjeeling Himalayan Railway and its scenic views of the surrounding Himalayas.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72101f7308190beb202a052ff04d2 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:54 p.m.