Triple
T21945020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andhadhun |
E541911
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object |
Aap Se Milkar
"Aap Se Milkar" is a popular romantic song from the acclaimed Hindi black-comedy thriller film Andhadhun.
|
E1509484
|
NE FINISHED |
How this triple was built (4 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: Aap Se Milkar | Statement: [Andhadhun, hasSong, Aap Se Milkar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aap Se Milkar Context triple: [Andhadhun, hasSong, Aap Se Milkar]
-
A.
Dilwaala
Dilwaala is an Indian film best known for featuring actress Persis Khambatta in a notable role.
-
B.
Bhaag Milkha Bhaag
Bhaag Milkha Bhaag is a 2013 Indian biographical sports drama film that chronicles the life and struggles of legendary sprinter Milkha Singh.
-
C.
Aap Ki Khatir
Aap Ki Khatir is a 2006 Hindi romantic comedy film starring Amisha Patel and Akshaye Khanna, centered on love, misunderstandings, and relationships.
-
D.
Ek Baat
Ek Baat is a notable literary work by renowned Urdu writer Ismat Chughtai, reflecting her characteristic realism and progressive social themes.
-
E.
Agar Tum Saath Ho
"Agar Tum Saath Ho" is a popular Hindi romantic song from the film Tamasha, known for its emotional melody and heartfelt vocals by Alka Yagnik and Arijit Singh.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aap Se Milkar Triple: [Andhadhun, hasSong, Aap Se Milkar]
Generated description
"Aap Se Milkar" is a popular romantic song from the acclaimed Hindi black-comedy thriller film Andhadhun.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aap Se Milkar Target entity description: "Aap Se Milkar" is a popular romantic song from the acclaimed Hindi black-comedy thriller film Andhadhun.
-
A.
Dilwaala
Dilwaala is an Indian film best known for featuring actress Persis Khambatta in a notable role.
-
B.
Bhaag Milkha Bhaag
Bhaag Milkha Bhaag is a 2013 Indian biographical sports drama film that chronicles the life and struggles of legendary sprinter Milkha Singh.
-
C.
Aap Ki Khatir
Aap Ki Khatir is a 2006 Hindi romantic comedy film starring Amisha Patel and Akshaye Khanna, centered on love, misunderstandings, and relationships.
-
D.
Ek Baat
Ek Baat is a notable literary work by renowned Urdu writer Ismat Chughtai, reflecting her characteristic realism and progressive social themes.
-
E.
Agar Tum Saath Ho
"Agar Tum Saath Ho" is a popular Hindi romantic song from the film Tamasha, known for its emotional melody and heartfelt vocals by Alka Yagnik and Arijit Singh.
- F. None of above. chosen
Provenance (5 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60f1f49c81909f6c17dad3bd0219 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a6200fb1c81909a4ab05fd368dafc |
completed | May 18, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a626731d8819097b209ae1375ae25 |
completed | May 18, 2026, 12:50 a.m. |
Created at: April 16, 2026, 7:56 p.m.