Triple
T16183353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jo Jeeta Wohi Sikandar |
E392738
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Kiran Zaveri
Kiran Zaveri is an Indian actress best known for her role in the popular 1992 Bollywood film "Jo Jeeta Wohi Sikandar."
|
E1201179
|
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: Kiran Zaveri | Statement: [Jo Jeeta Wohi Sikandar, starring, Kiran Zaveri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiran Zaveri Context triple: [Jo Jeeta Wohi Sikandar, starring, Kiran Zaveri]
-
A.
Pavun Shetty
Pavun Shetty is a television producer best known for his executive production work on the hit superhero series "The Boys."
-
B.
Narhari Parikh
Narhari Parikh was an Indian freedom fighter, social worker, and close associate of Mahatma Gandhi who played a significant role in early Gandhian movements and rural reform.
-
C.
Shafi Inamdar
Shafi Inamdar was an Indian actor known for his work in Hindi films and television, particularly in popular series of the 1980s and 1990s.
-
D.
Kiran Deohans
Kiran Deohans is an Indian cinematographer known for his visually rich work on major Bollywood films.
-
E.
Kamal Shirwadkar
Kamal Shirwadkar was the wife of renowned Marathi poet and writer Vishnu Vaman Shirwadkar, popularly known as Kusumagraj.
- 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: Kiran Zaveri Triple: [Jo Jeeta Wohi Sikandar, starring, Kiran Zaveri]
Generated description
Kiran Zaveri is an Indian actress best known for her role in the popular 1992 Bollywood film "Jo Jeeta Wohi Sikandar."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiran Zaveri Target entity description: Kiran Zaveri is an Indian actress best known for her role in the popular 1992 Bollywood film "Jo Jeeta Wohi Sikandar."
-
A.
Pavun Shetty
Pavun Shetty is a television producer best known for his executive production work on the hit superhero series "The Boys."
-
B.
Narhari Parikh
Narhari Parikh was an Indian freedom fighter, social worker, and close associate of Mahatma Gandhi who played a significant role in early Gandhian movements and rural reform.
-
C.
Shafi Inamdar
Shafi Inamdar was an Indian actor known for his work in Hindi films and television, particularly in popular series of the 1980s and 1990s.
-
D.
Kiran Deohans
Kiran Deohans is an Indian cinematographer known for his visually rich work on major Bollywood films.
-
E.
Kamal Shirwadkar
Kamal Shirwadkar was the wife of renowned Marathi poet and writer Vishnu Vaman Shirwadkar, popularly known as Kusumagraj.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ef39081908da383abdebc2ccc |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007899b408190abcb7e72bdc81e9d |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a000900bfbc8190b21eb513838759a9 |
completed | May 10, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000a0fc93c819088d9233aaa5e2017 |
completed | May 10, 2026, 4:31 a.m. |
Created at: April 10, 2026, 5:02 a.m.