Triple
T21428701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krantiveer |
E528626
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Atul Agnihotri
Atul Agnihotri is an Indian film actor, producer, and director known for his work in Hindi cinema and for producing successful Bollywood films.
|
E1486154
|
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: Atul Agnihotri | Statement: [Krantiveer, starring, Atul Agnihotri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atul Agnihotri Context triple: [Krantiveer, starring, Atul Agnihotri]
-
A.
Ritesh Soni
Ritesh Soni is an Indian film editor known for his work on Bollywood films, including the romantic thriller "Fanaa."
-
B.
Roopesh Parekh
Roopesh Parekh is a television and film producer known for his work on the adaptation of Agatha Christie's "Ordeal by Innocence."
-
C.
Ashok Chopra
Ashok Chopra was an Indian physician and army doctor best known as the late father of actress and global star Priyanka Chopra Jonas.
-
D.
Ritesh Agarwal
Ritesh Agarwal is an Indian entrepreneur best known as the founder and CEO of the budget hotel chain OYO Rooms.
-
E.
Vikramaditya Motwane
Vikramaditya Motwane is an Indian filmmaker and screenwriter known for directing acclaimed films like "Udaan," "Lootera," and the Netflix series "Sacred Games."
- 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: Atul Agnihotri Triple: [Krantiveer, starring, Atul Agnihotri]
Generated description
Atul Agnihotri is an Indian film actor, producer, and director known for his work in Hindi cinema and for producing successful Bollywood films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atul Agnihotri Target entity description: Atul Agnihotri is an Indian film actor, producer, and director known for his work in Hindi cinema and for producing successful Bollywood films.
-
A.
Ritesh Soni
Ritesh Soni is an Indian film editor known for his work on Bollywood films, including the romantic thriller "Fanaa."
-
B.
Roopesh Parekh
Roopesh Parekh is a television and film producer known for his work on the adaptation of Agatha Christie's "Ordeal by Innocence."
-
C.
Ashok Chopra
Ashok Chopra was an Indian physician and army doctor best known as the late father of actress and global star Priyanka Chopra Jonas.
-
D.
Ritesh Agarwal
Ritesh Agarwal is an Indian entrepreneur best known as the founder and CEO of the budget hotel chain OYO Rooms.
-
E.
Vikramaditya Motwane
Vikramaditya Motwane is an Indian filmmaker and screenwriter known for directing acclaimed films like "Udaan," "Lootera," and the Netflix series "Sacred Games."
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813db52c8190ac933bc6ec4dbf77 |
completed | April 26, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09cfe2dcac8190b96add5b09edb4f6 |
completed | May 17, 2026, 2:25 p.m. |
| NEDg | Description generation | batch_6a09d161cbbc8190abe8ef1ec7e7c29e |
completed | May 17, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09d1c579bc8190b66b7cf660738409 |
completed | May 17, 2026, 2:33 p.m. |
Created at: April 16, 2026, 5:49 p.m.