Triple

T21944494
Position Surface form Disambiguated ID Type / Status
Subject 7 Khoon Maaf E541900 entity
Predicate starring P1507 FINISHED
Object Vivaan Shah 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: Vivaan Shah | Statement: [7 Khoon Maaf, starring, Vivaan Shah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vivaan Shah
Context triple: [7 Khoon Maaf, starring, Vivaan Shah]
  • A. Vivaan Shah chosen
    Vivaan Shah is an Indian film actor known for his roles in Hindi cinema and as the son of acclaimed actor Naseeruddin Shah.
  • B. Ishaan Awasthi
    Ishaan Awasthi is the dyslexic young boy at the heart of the Indian film "Taare Zameen Par," whose struggles and artistic talent highlight the challenges faced by children with learning disabilities.
  • C. Ishan Arya
    Ishan Arya was an Indian cinematographer best known for his influential work in parallel cinema, particularly in landmark films of the 1970s.
  • D. Shayan Munshi
    Shayan Munshi is an Indian model and actor best known for his Bollywood debut in the musical comedy film "Jhankaar Beats."
  • E. Savan Kotecha
    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.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.