Triple

T12869159
Position Surface form Disambiguated ID Type / Status
Subject Hotel Mumbai E307801 entity
Predicate castMember P1668 FINISHED
Object Anupam Kher E127507 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: Anupam Kher | Statement: [Hotel Mumbai, castMember, Anupam Kher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anupam Kher
Context triple: [Hotel Mumbai, castMember, Anupam Kher]
  • A. Anupam Kher chosen
    Anupam Kher is an acclaimed Indian actor known for his extensive work in Hindi cinema and notable roles in international films.
  • 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. Sanjeev Bhaskar
    Sanjeev Bhaskar is a British comedian, actor, and writer best known for his work on the sketch show "Goodness Gracious Me" and the sitcom "The Kumars at No. 42."
  • D. Anupam Tripathi
    Anupam Tripathi is an Indian actor best known internationally for his breakout role as Ali Abdul in the South Korean Netflix series "Squid Game."
  • E. Gulshan Grover
    Gulshan Grover is an Indian film actor, popularly known as Bollywood’s “Bad Man” for his numerous villainous roles across Hindi cinema.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb26eb08190912d0b44c345bf41 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.