Triple

T22148904
Position Surface form Disambiguated ID Type / Status
Subject Kuch Kuch Hota Hai E547362 entity
Predicate editedBy P1954 FINISHED
Object Sanjay Sankla 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: Sanjay Sankla | Statement: [Kuch Kuch Hota Hai, editedBy, Sanjay Sankla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanjay Sankla
Context triple: [Kuch Kuch Hota Hai, editedBy, Sanjay Sankla]
  • A. Sanjay Sankla chosen
    Sanjay Sankla is an Indian film editor known for his work on Hindi cinema, including the popular film "Hum Hain Rahi Pyar Ke."
  • B. Sanjay Jog
    Sanjay Jog was an Indian actor best known for playing Bharata in Ramanand Sagar’s iconic television series "Ramayan."
  • C. Sanjay Suri
    Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
  • D. Sampath Chawla
    Sampath Chawla is the eccentric young man who becomes a reluctant holy figure after retreating to a guava tree in Kiran Desai’s novel "Hullabaloo in the Guava Orchard."
  • E. Sanjay Mishra
    Sanjay Mishra is an Indian film and television actor known for his versatile character roles and comic performances in Hindi cinema.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f209688190afea1f275c922c73 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.