Triple

T22599197
Position Surface form Disambiguated ID Type / Status
Subject Saroj Khan E574765 entity
Predicate wonForWork P15276 FINISHED
Object Dola Re Dola 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: Dola Re Dola | Statement: [Saroj Khan, wonForWork, Dola Re Dola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dola Re Dola
Context triple: [Saroj Khan, wonForWork, Dola Re Dola]
  • A. Dola Re Dola chosen
    "Dola Re Dola" is a famous Bollywood song from the film Devdas, celebrated for its grand picturization and classical dance performance by leading actresses.
  • B. Bhagam Bhag
    Bhagam Bhag is a 2006 Indian Hindi-language comedy film directed by Priyadarshan, known for its slapstick humor and ensemble cast including Akshay Kumar, Govinda, and Lara Dutta.
  • C. Dilwaala
    Dilwaala is an Indian film best known for featuring actress Persis Khambatta in a notable role.
  • D. Hum Dil De Chuke Sanam
    Hum Dil De Chuke Sanam is a 1999 Indian romantic drama film known for its opulent visuals, memorable music, and emotionally charged love triangle, starring Salman Khan, Aishwarya Rai, and Ajay Devgn.
  • E. Dil
    Dil is a 2003 Telugu romantic drama film that became a commercial success and helped establish producer Dil Raju’s prominence in the Telugu film industry.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626b5f5481909a104088d1c96720 completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:50 p.m.