Triple
T16527675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajkummar Rao |
E401481
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object |
Amar Kaushik
Amar Kaushik is an Indian film director best known for helming popular Hindi films like the horror-comedy "Stree."
|
E1228237
|
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: Amar Kaushik | Statement: [Rajkummar Rao, workedWith, Amar Kaushik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amar Kaushik Context triple: [Rajkummar Rao, workedWith, Amar Kaushik]
-
A.
Bhavish Aggarwal
Bhavish Aggarwal is an Indian entrepreneur best known for co-founding and leading the ride-hailing and mobility company Ola.
-
B.
Piyush Kanojia
Piyush Kanojia is an Indian music composer best known for his work on the film "Gandhi, My Father."
-
C.
Alok Bhardwaj
Alok Bhardwaj is an entrepreneur best known as the founder of the privacy-focused software company Hidden Reflex, which developed the Epic web browser.
-
D.
Manish Dayal
Manish Dayal is an American actor best known for his leading role in the film "The Hundred-Foot Journey" and for his work in television series such as "The Resident."
-
E.
Akash Malhotra
Akash Malhotra is a carefree, witty young man whose emotional growth and evolving friendships form a central arc of the Bollywood film "Dil Chahta Hai."
- 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: Amar Kaushik Triple: [Rajkummar Rao, workedWith, Amar Kaushik]
Generated description
Amar Kaushik is an Indian film director best known for helming popular Hindi films like the horror-comedy "Stree."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amar Kaushik Target entity description: Amar Kaushik is an Indian film director best known for helming popular Hindi films like the horror-comedy "Stree."
-
A.
Bhavish Aggarwal
Bhavish Aggarwal is an Indian entrepreneur best known for co-founding and leading the ride-hailing and mobility company Ola.
-
B.
Piyush Kanojia
Piyush Kanojia is an Indian music composer best known for his work on the film "Gandhi, My Father."
-
C.
Alok Bhardwaj
Alok Bhardwaj is an entrepreneur best known as the founder of the privacy-focused software company Hidden Reflex, which developed the Epic web browser.
-
D.
Manish Dayal
Manish Dayal is an American actor best known for his leading role in the film "The Hundred-Foot Journey" and for his work in television series such as "The Resident."
-
E.
Akash Malhotra
Akash Malhotra is a carefree, witty young man whose emotional growth and evolving friendships form a central arc of the Bollywood film "Dil Chahta Hai."
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed4b8a08190b5f179fc583001a6 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a2590d48190b72b7d5be20c14c7 |
completed | May 10, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a008b41a1648190bd1c2268c8a80ee2 |
completed | May 10, 2026, 1:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008c2bcac48190801ba34fde104a8a |
completed | May 10, 2026, 1:46 p.m. |
Created at: April 10, 2026, 5:14 a.m.