Triple
T21108644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirzya (2016 film) |
E520118
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Rajiv Tandon
Rajiv Tandon is a film producer best known for his work on the 2016 Hindi romantic fantasy film "Mirzya."
|
E1466717
|
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: Rajiv Tandon | Statement: [Mirzya (2016 film), producer, Rajiv Tandon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rajiv Tandon Context triple: [Mirzya (2016 film), producer, Rajiv Tandon]
-
A.
Rajeev Samant
Rajeev Samant is an Indian entrepreneur best known as the pioneering founder of Sula Vineyards, one of India’s largest and most influential wine producers.
-
B.
Arun Gupta
Arun Gupta is the child of Indian actress and screenwriter Sonali Das Gupta.
-
C.
Aravind Joshi
Aravind Joshi was an Indian-American computer scientist and computational linguist known for pioneering work in formal grammar formalisms, particularly Tree Adjoining Grammars, and for foundational contributions to natural language processing.
-
D.
Rajiv Batra
Rajiv Batra is a technology entrepreneur best known as a co-founder of the cybersecurity company Palo Alto Networks.
-
E.
Rakesh Tondon
Rakesh Tondon is an entrepreneur best known as the co-founder and former CEO of the fashion rental subscription service Le Tote.
- 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: Rajiv Tandon Triple: [Mirzya (2016 film), producer, Rajiv Tandon]
Generated description
Rajiv Tandon is a film producer best known for his work on the 2016 Hindi romantic fantasy film "Mirzya."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rajiv Tandon Target entity description: Rajiv Tandon is a film producer best known for his work on the 2016 Hindi romantic fantasy film "Mirzya."
-
A.
Rajeev Samant
Rajeev Samant is an Indian entrepreneur best known as the pioneering founder of Sula Vineyards, one of India’s largest and most influential wine producers.
-
B.
Arun Gupta
Arun Gupta is the child of Indian actress and screenwriter Sonali Das Gupta.
-
C.
Aravind Joshi
Aravind Joshi was an Indian-American computer scientist and computational linguist known for pioneering work in formal grammar formalisms, particularly Tree Adjoining Grammars, and for foundational contributions to natural language processing.
-
D.
Rajiv Batra
Rajiv Batra is a technology entrepreneur best known as a co-founder of the cybersecurity company Palo Alto Networks.
-
E.
Rakesh Tondon
Rakesh Tondon is an entrepreneur best known as the co-founder and former CEO of the fashion rental subscription service Le Tote.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e720ffa998819082db225363ac3b23 |
completed | April 21, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095a69219c8190ab5b106aa1375c6a |
completed | May 17, 2026, 6:04 a.m. |
| NEDg | Description generation | batch_6a095b6d25f8819097334c13ef37003e |
completed | May 17, 2026, 6:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a095c7c8840819087c9860a75314b83 |
completed | May 17, 2026, 6:13 a.m. |
Created at: April 16, 2026, 2:54 p.m.