Triple

T22127111
Position Surface form Disambiguated ID Type / Status
Subject Four E546816 entity
Predicate producer P490 FINISHED
Object Savan Kotecha 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: Savan Kotecha | Statement: [Four, producer, Savan Kotecha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savan Kotecha
Context triple: [Four, producer, Savan Kotecha]
  • A. Savan Kotecha chosen
    Savan Kotecha is an American songwriter and record producer best known for crafting numerous global pop hits for artists like One Direction, Ariana Grande, and The Weeknd.
  • B. Vivaan Shah
    Vivaan Shah is an Indian film actor known for his roles in Hindi cinema and as the son of acclaimed actor Naseeruddin Shah.
  • C. Divyank Turakhia
    Divyank Turakhia is an Indian serial tech entrepreneur and billionaire best known for building and selling multiple internet and ad-tech companies, including those under the Directi Group.
  • D. Rohan Oza
    Rohan Oza is a marketing executive and entrepreneur best known for building and investing in major consumer brands like Vitaminwater and for his appearances as a guest investor on Shark Tank.
  • E. Karan Patel
    Karan Patel is an Indian television actor best known for his role as Raman Bhalla in the popular Hindi TV series "Yeh Hai Mohabbatein."
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12982eaa08190933d3036c020f562 completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:31 p.m.