Triple

T20351393
Position Surface form Disambiguated ID Type / Status
Subject Khandhar E496018 entity
Predicate hasCastMember P2308 FINISHED
Object Annu Kapoor 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: Annu Kapoor | Statement: [Khandhar, hasCastMember, Annu Kapoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annu Kapoor
Context triple: [Khandhar, hasCastMember, Annu Kapoor]
  • A. Annu Kapoor chosen
    Annu Kapoor is an Indian film and television actor, radio host, and television presenter known for his character roles and work on shows like "Antakshari."
  • B. Shakti Kapoor
    Shakti Kapoor is a veteran Indian film actor best known for his comic and villainous roles in numerous Bollywood movies since the late 1970s.
  • C. Neetu Kapoor
    Neetu Kapoor is an Indian film actress best known for her work in Hindi cinema from the 1970s and 1980s and for being part of the prominent Kapoor film family.
  • D. Anjali Apte
    Anjali Apte is a notable individual associated with the surname Apte, recognized for her contributions in her respective field.
  • E. Madhu Chopra
    Madhu Chopra is an Indian physician and film producer best known as the mother of actress Priyanka Chopra Jonas and co-founder of the production company Purple Pebble Pictures.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6784f8ff48190a070888786f6a989 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.