Triple

T20417639
Position Surface form Disambiguated ID Type / Status
Subject Apna Sapna Money Money E500752 entity
Predicate storyBy P1955 FINISHED
Object Paritosh Painter NE NERFINISHED

How this triple was built (2 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: Paritosh Painter | Statement: [Apna Sapna Money Money, storyBy, Paritosh Painter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paritosh Painter
Context triple: [Apna Sapna Money Money, storyBy, Paritosh Painter]
  • A. Paritosh Painter chosen
    Paritosh Painter is an Indian playwright, screenwriter, and director known for his work in Hindi comedy films and theatre.
  • B. Bharat Dev Varma
    Bharat Dev Varma is an Indian royal family member and the father of actress Riya Sen.
  • C. Brijendra Kala
    Brijendra Kala is an Indian character actor known for his subtle, realistic performances in Hindi films and television.
  • D. Nek Chand
    Nek Chand was an Indian self-taught artist and sculptor best known for creating the iconic Rock Garden of Chandigarh from recycled materials.
  • E. Vanraj Chavda
    Vanraj Chavda was a medieval Chavda dynasty ruler of Gujarat, known for establishing the city of Patan as a significant regional capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a44ecf48190ba5a3872af500dc8 completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.