Triple

T11102813
Position Surface form Disambiguated ID Type / Status
Subject Kareena Kapoor Khan E262552 entity
Predicate relative P37 FINISHED
Object Rishi Kapoor E270718 NE FINISHED

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: Rishi Kapoor | Statement: [Kareena Kapoor Khan, relative, Rishi Kapoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rishi Kapoor
Context triple: [Kareena Kapoor Khan, relative, Rishi Kapoor]
  • A. Rishi Kapoor chosen
    Rishi Kapoor was a prominent Indian film actor and director, best known for his romantic lead roles in Hindi cinema from the 1970s onward and as a member of the influential Kapoor film family.
  • B. Anil Kapoor
    Anil Kapoor is a veteran Indian actor and producer known for his work in Hindi cinema and international films, recognized for his energetic screen presence and roles in movies like "Mr. India," "Dil Dhadakne Do," and the series "24."
  • C. Ajitabh Bachchan
    Ajitabh Bachchan is an Indian businessman best known as the younger brother of legendary Bollywood actor Amitabh Bachchan.
  • D. Gulshan Grover
    Gulshan Grover is an Indian film actor, popularly known as Bollywood’s “Bad Man” for his numerous villainous roles across Hindi cinema.
  • E. Randeep Hooda
    Randeep Hooda is an Indian film actor known for his intense performances in Hindi cinema across critically acclaimed and commercially successful films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2c30a481908c45020c37caebe4 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e890bb9c81908c316a6423e650e6 completed April 20, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:27 p.m.