Triple
T22755559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neha Kakkar |
E562833
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Aankh Marey (Simmba) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Aankh Marey (Simmba) | Statement: [Neha Kakkar, notableWork, Aankh Marey (Simmba)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aankh Marey (Simmba) Context triple: [Neha Kakkar, notableWork, Aankh Marey (Simmba)]
-
A.
Aankhen
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.
Do Aankhen Barah Haath
Do Aankhen Barah Haath is a landmark 1957 Indian Hindi-language drama film directed by V. Shantaram, celebrated for its humanistic portrayal of prisoner reform and its innovative, realist storytelling.
-
C.
Ankhon Dekhi
Ankhon Dekhi is a 2013 Indian Hindi-language drama film, written and directed by Rajat Kapoor, that follows a man who decides to believe only what he can personally experience.
-
D.
Kaalpurush
Kaalpurush is an acclaimed Bengali film by director Buddhadeb Dasgupta that explores memory, time, and human relationships through a poetic, surreal narrative.
-
E.
Aayega Aanewala
"Aayega Aanewala" is a landmark Hindi film song from the 1949 movie Mahal, celebrated for its haunting melody and for bringing playback singer Lata Mangeshkar to national prominence.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aankh Marey (Simmba) Target entity description: "Aankh Marey" from the film *Simmba* is a popular Bollywood dance track, a recreated version of the 1996 song "Aankh Maare," known for its energetic beats and party appeal.
-
A.
Aankhen
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.
Do Aankhen Barah Haath
Do Aankhen Barah Haath is a landmark 1957 Indian Hindi-language drama film directed by V. Shantaram, celebrated for its humanistic portrayal of prisoner reform and its innovative, realist storytelling.
-
C.
Ankhon Dekhi
Ankhon Dekhi is a 2013 Indian Hindi-language drama film, written and directed by Rajat Kapoor, that follows a man who decides to believe only what he can personally experience.
-
D.
Kaalpurush
Kaalpurush is an acclaimed Bengali film by director Buddhadeb Dasgupta that explores memory, time, and human relationships through a poetic, surreal narrative.
-
E.
Aayega Aanewala
"Aayega Aanewala" is a landmark Hindi film song from the 1949 movie Mahal, celebrated for its haunting melody and for bringing playback singer Lata Mangeshkar to national prominence.
- F. None of above. chosen
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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bc48788190b3deb9287d02cb2c |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.