Triple
T21944186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angrezi Medium |
E541893
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Gaurav Shukla
Gaurav Shukla is an Indian screenwriter known for his work on Hindi films, including the comedy-drama "Angrezi Medium."
|
E1514816
|
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: Gaurav Shukla | Statement: [Angrezi Medium, screenwriter, Gaurav Shukla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaurav Shukla Context triple: [Angrezi Medium, screenwriter, Gaurav Shukla]
-
A.
Nishant Kumar
Nishant Kumar is known as the son of Indian politician and longtime Bihar Chief Minister Nitish Kumar.
-
B.
Abhishek Verma
Abhishek Verma is a computer scientist best known as a co-creator of Google Borg, the large-scale cluster management and scheduling system that inspired Kubernetes.
-
C.
Gautam Kumar
Gautam Kumar is known as the son of legendary Indian Bengali actor Uttam Kumar.
-
D.
Shantanu Thakur
Shantanu Thakur is an Indian politician from the Bharatiya Janata Party who serves as a Minister of State in the central government and represents the Bangaon constituency in the Lok Sabha.
-
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: Gaurav Shukla Triple: [Angrezi Medium, screenwriter, Gaurav Shukla]
Generated description
Gaurav Shukla is an Indian screenwriter known for his work on Hindi films, including the comedy-drama "Angrezi Medium."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gaurav Shukla Target entity description: Gaurav Shukla is an Indian screenwriter known for his work on Hindi films, including the comedy-drama "Angrezi Medium."
-
A.
Nishant Kumar
Nishant Kumar is known as the son of Indian politician and longtime Bihar Chief Minister Nitish Kumar.
-
B.
Abhishek Verma
Abhishek Verma is a computer scientist best known as a co-creator of Google Borg, the large-scale cluster management and scheduling system that inspired Kubernetes.
-
C.
Gautam Kumar
Gautam Kumar is known as the son of legendary Indian Bengali actor Uttam Kumar.
-
D.
Shantanu Thakur
Shantanu Thakur is an Indian politician from the Bharatiya Janata Party who serves as a Minister of State in the central government and represents the Bangaon constituency in the Lok Sabha.
-
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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b5abc5c8190b5ba2c4352289bb0 |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c35f92081909d83acfaa927d52f |
completed | May 18, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7c9887ec81908638c72bbfca1580 |
completed | May 18, 2026, 2:42 a.m. |
Created at: April 16, 2026, 7:56 p.m.