Triple
T22012360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rang Rasiya |
E543607
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Gaurav Dwivedi
Gaurav Dwivedi is an Indian actor known for his work in Hindi films and television.
|
E1529296
|
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 Dwivedi | Statement: [Rang Rasiya, castMember, Gaurav Dwivedi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaurav Dwivedi Context triple: [Rang Rasiya, castMember, Gaurav Dwivedi]
-
A.
Gaurav Shukla
Gaurav Shukla is an Indian screenwriter known for his work on Hindi films, including the comedy-drama "Angrezi Medium."
-
B.
Saurabh Shukla
Saurabh Shukla is an Indian actor, director, and screenwriter known for his character roles in Hindi cinema and acclaimed performances in films like "Satya" and "Jolly LLB."
-
C.
Gautam Kumar
Gautam Kumar is known as the son of legendary Indian Bengali actor Uttam Kumar.
-
D.
Nishant Kumar
Nishant Kumar is known as the son of Indian politician and longtime Bihar Chief Minister Nitish Kumar.
-
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 Dwivedi Triple: [Rang Rasiya, castMember, Gaurav Dwivedi]
Generated description
Gaurav Dwivedi is an Indian actor known for his work in Hindi films and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gaurav Dwivedi Target entity description: Gaurav Dwivedi is an Indian actor known for his work in Hindi films and television.
-
A.
Gaurav Shukla
Gaurav Shukla is an Indian screenwriter known for his work on Hindi films, including the comedy-drama "Angrezi Medium."
-
B.
Saurabh Shukla
Saurabh Shukla is an Indian actor, director, and screenwriter known for his character roles in Hindi cinema and acclaimed performances in films like "Satya" and "Jolly LLB."
-
C.
Gautam Kumar
Gautam Kumar is known as the son of legendary Indian Bengali actor Uttam Kumar.
-
D.
Nishant Kumar
Nishant Kumar is known as the son of Indian politician and longtime Bihar Chief Minister Nitish Kumar.
-
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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a5e624819082ed5beeb4bc82fa |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0acc7a87888190ad7feba7475667dd |
completed | May 18, 2026, 8:23 a.m. |
| NEDg | Description generation | batch_6a0acdc636448190a714b3d9685cd50e |
completed | May 18, 2026, 8:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ace73088c8190b296e17795c42e1e |
completed | May 18, 2026, 8:31 a.m. |
Created at: April 16, 2026, 8:22 p.m.