Triple

T22433176
Position Surface form Disambiguated ID Type / Status
Subject Ishqiya E554547 entity
Predicate cinematographyBy P1953 FINISHED
Object Mohana Krishna
Mohana Krishna is a cinematographer best known for his work on the Indian film "Ishqiya."
E1539560 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: Mohana Krishna | Statement: [Ishqiya, cinematographyBy, Mohana Krishna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mohana Krishna
Context triple: [Ishqiya, cinematographyBy, Mohana Krishna]
  • A. Kamalakar Rao
    Kamalakar Rao is an Indian cinematographer known for his work on the film "Karma."
  • B. Bala Krishna
    Bala Krishna is the child form of the Hindu god Krishna, venerated for his playful and mischievous divine pastimes.
  • C. Koka Subba Rao
    Koka Subba Rao was an Indian jurist who served as the Chief Justice of India and is noted for landmark judgments that strengthened fundamental rights and judicial review.
  • D. Nambala Keshava Rao
    Nambala Keshava Rao is an Indian Maoist leader who serves as the chief of the Communist Party of India (Maoist) and is considered one of the country’s most wanted insurgent figures.
  • E. Sai Madhav Burra
    Sai Madhav Burra is an Indian screenwriter and dialogue writer known for his work on major Telugu films, including the epic action drama "RRR."
  • 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: Mohana Krishna
Triple: [Ishqiya, cinematographyBy, Mohana Krishna]
Generated description
Mohana Krishna is a cinematographer best known for his work on the Indian film "Ishqiya."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mohana Krishna
Target entity description: Mohana Krishna is a cinematographer best known for his work on the Indian film "Ishqiya."
  • A. Kamalakar Rao
    Kamalakar Rao is an Indian cinematographer known for his work on the film "Karma."
  • B. Bala Krishna
    Bala Krishna is the child form of the Hindu god Krishna, venerated for his playful and mischievous divine pastimes.
  • C. Koka Subba Rao
    Koka Subba Rao was an Indian jurist who served as the Chief Justice of India and is noted for landmark judgments that strengthened fundamental rights and judicial review.
  • D. Nambala Keshava Rao
    Nambala Keshava Rao is an Indian Maoist leader who serves as the chief of the Communist Party of India (Maoist) and is considered one of the country’s most wanted insurgent figures.
  • E. Sai Madhav Burra
    Sai Madhav Burra is an Indian screenwriter and dialogue writer known for his work on major Telugu films, including the epic action drama "RRR."
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a3320448190ae3931062599116e completed April 29, 2026, 1:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b124d0c608190838ee9a61a220786 completed May 18, 2026, 1:21 p.m.
NEDg Description generation batch_6a0b14a059e4819095a3d467c469e783 completed May 18, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_6a0b15696e588190a2c76b0a4af285a4 completed May 18, 2026, 1:34 p.m.
Created at: April 16, 2026, 8:47 p.m.