Triple
T22599245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deewani Mastani |
E574767
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object |
Siddharth–Garima
Siddharth–Garima are an Indian lyricist and screenwriting duo known for their work on prominent Bollywood films and songs.
|
E1544247
|
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: Siddharth–Garima | Statement: [Deewani Mastani, lyricist, Siddharth–Garima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siddharth–Garima Context triple: [Deewani Mastani, lyricist, Siddharth–Garima]
-
A.
Gita Siddharth
Gita Siddharth was an Indian film and television actress best known for her acclaimed performances in socially relevant Hindi cinema of the 1970s and 1980s.
-
B.
Siddharth
Siddharth is an Indian actor known for his work in Hindi and South Indian cinema, including a prominent role in the film "Rang De Basanti."
-
C.
Siddharth Chopra
Siddharth Chopra is an Indian entrepreneur and the younger brother of actress and global icon Priyanka Chopra Jonas.
-
D.
Vikrant Kapoor
Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
-
E.
Harshvardhan Kapoor
Harshvardhan Kapoor is an Indian film actor known for his work in Hindi cinema, including his debut in the critically acclaimed film "Mirzya."
- 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: Siddharth–Garima Triple: [Deewani Mastani, lyricist, Siddharth–Garima]
Generated description
Siddharth–Garima are an Indian lyricist and screenwriting duo known for their work on prominent Bollywood films and songs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siddharth–Garima Target entity description: Siddharth–Garima are an Indian lyricist and screenwriting duo known for their work on prominent Bollywood films and songs.
-
A.
Gita Siddharth
Gita Siddharth was an Indian film and television actress best known for her acclaimed performances in socially relevant Hindi cinema of the 1970s and 1980s.
-
B.
Siddharth
Siddharth is an Indian actor known for his work in Hindi and South Indian cinema, including a prominent role in the film "Rang De Basanti."
-
C.
Siddharth Chopra
Siddharth Chopra is an Indian entrepreneur and the younger brother of actress and global icon Priyanka Chopra Jonas.
-
D.
Vikrant Kapoor
Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
-
E.
Harshvardhan Kapoor
Harshvardhan Kapoor is an Indian film actor known for his work in Hindi cinema, including his debut in the critically acclaimed film "Mirzya."
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626b5f5481909a104088d1c96720 |
completed | April 29, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b3d659f988190a3b33666ddf6e680 |
completed | May 18, 2026, 4:25 p.m. |
| NEDg | Description generation | batch_6a0b3e34494881908a06eeabafbfb94a |
completed | May 18, 2026, 4:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b3f0d4e1c819091919aa6107df8a5 |
completed | May 18, 2026, 4:32 p.m. |
Created at: April 17, 2026, 2:50 p.m.