Triple

T16964374
Position Surface form Disambiguated ID Type / Status
Subject Tulu cinema E411505 entity
Predicate notableDirector P4744 FINISHED
Object Prakash Pandeshwar
Prakash Pandeshwar is a prominent film director known for his influential work in Tulu-language cinema.
 E1244828 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: Prakash Pandeshwar | Statement: [Tulu cinema, notableDirector, Prakash Pandeshwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prakash Pandeshwar
Context triple: [Tulu cinema, notableDirector, Prakash Pandeshwar]
  • A. Ghanshyam Pande
    Ghanshyam Pande, later known as Swaminarayan, was a Hindu spiritual leader and reformer who founded the Swaminarayan Sampradaya in the early 19th century.
  • B. Yogendra Shukla
    Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
  • C. Binod Pradhan
    Binod Pradhan is an acclaimed Indian cinematographer known for his visually striking work on numerous landmark Hindi films.
  • D. Prabhat Kumar
    Prabhat Kumar is an Indian civil servant and politician who became the inaugural Governor of the state of Jharkhand.
  • E. Virendra Sharma
    Virendra Sharma is a British Labour Party politician who has served as the Member of Parliament for the London constituency of Ealing Southall.
  • 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: Prakash Pandeshwar
Triple: [Tulu cinema, notableDirector, Prakash Pandeshwar]
Generated description
Prakash Pandeshwar is a prominent film director known for his influential work in Tulu-language cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prakash Pandeshwar
Target entity description: Prakash Pandeshwar is a prominent film director known for his influential work in Tulu-language cinema.
  • A. Ghanshyam Pande
    Ghanshyam Pande, later known as Swaminarayan, was a Hindu spiritual leader and reformer who founded the Swaminarayan Sampradaya in the early 19th century.
  • B. Yogendra Shukla
    Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
  • C. Binod Pradhan
    Binod Pradhan is an acclaimed Indian cinematographer known for his visually striking work on numerous landmark Hindi films.
  • D. Prabhat Kumar
    Prabhat Kumar is an Indian civil servant and politician who became the inaugural Governor of the state of Jharkhand.
  • E. Virendra Sharma
    Virendra Sharma is a British Labour Party politician who has served as the Member of Parliament for the London constituency of Ealing Southall.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a2cda88190bd574a869f0e43e9 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc09386c819088bdb2548f3fb5c8 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a0114d33cac819083d8e542ea5bc274 completed May 10, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0115c967b0819088e2335fd45d755b completed May 10, 2026, 11:33 p.m.
Created at: April 10, 2026, 5:31 a.m.