Triple
T22292368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fandry |
E551028
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Nilesh Navalakha
Nilesh Navalakha is an Indian film producer known for backing acclaimed Marathi cinema, including the award-winning film "Fandry."
|
E1556245
|
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: Nilesh Navalakha | Statement: [Fandry, producer, Nilesh Navalakha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nilesh Navalakha Context triple: [Fandry, producer, Nilesh Navalakha]
-
A.
Nikhil Sane
Nikhil Sane is an Indian film producer known for backing acclaimed Marathi cinema, including the blockbuster romantic drama "Sairat."
-
B.
Sameer Gadhia
Sameer Gadhia is the lead vocalist of the American alternative rock band Young the Giant.
-
C.
Ashish Shelar
Ashish Shelar is an Indian politician from the Bharatiya Janata Party who has held key administrative roles in sports governance, particularly in cricket.
-
D.
Yogesh Chandekar
Yogesh Chandekar is an Indian screenwriter best known for co-writing the acclaimed black comedy thriller film "Andhadhun."
-
E.
Shashank Manohar
Shashank Manohar is an Indian cricket administrator and lawyer who has served as president of the BCCI and later became a leading reformist figure in global cricket governance.
- 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: Nilesh Navalakha Triple: [Fandry, producer, Nilesh Navalakha]
Generated description
Nilesh Navalakha is an Indian film producer known for backing acclaimed Marathi cinema, including the award-winning film "Fandry."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nilesh Navalakha Target entity description: Nilesh Navalakha is an Indian film producer known for backing acclaimed Marathi cinema, including the award-winning film "Fandry."
-
A.
Nikhil Sane
Nikhil Sane is an Indian film producer known for backing acclaimed Marathi cinema, including the blockbuster romantic drama "Sairat."
-
B.
Sameer Gadhia
Sameer Gadhia is the lead vocalist of the American alternative rock band Young the Giant.
-
C.
Ashish Shelar
Ashish Shelar is an Indian politician from the Bharatiya Janata Party who has held key administrative roles in sports governance, particularly in cricket.
-
D.
Yogesh Chandekar
Yogesh Chandekar is an Indian screenwriter best known for co-writing the acclaimed black comedy thriller film "Andhadhun."
-
E.
Shashank Manohar
Shashank Manohar is an Indian cricket administrator and lawyer who has served as president of the BCCI and later became a leading reformist figure in global cricket governance.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560d1ec48190ab86f158c94b677b |
completed | April 29, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba791d9ec81908a518673ed3dd04b |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba81bade88190bc0f4225600509a2 |
completed | May 19, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a0ba8c3d6c88190944df9358dd58c4e |
completed | May 19, 2026, 12:03 a.m. |
Created at: April 16, 2026, 8:41 p.m.