Triple

T12869154
Position Surface form Disambiguated ID Type / Status
Subject Hotel Mumbai E307801 entity
Predicate distributor P1951 FINISHED
Object ShivHans Pictures E847388 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: ShivHans Pictures | Statement: [Hotel Mumbai, distributor, ShivHans Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ShivHans Pictures
Context triple: [Hotel Mumbai, distributor, ShivHans Pictures]
  • A. ShivHans Pictures chosen
    ShivHans Pictures is an American film production company known for backing acclaimed independent and arthouse films.
  • B. Sky Pictures
    Sky Pictures is a film production company best known for its involvement in the British heist thriller "The Bank Job."
  • C. Shiv
    Shiv is the sharp, politically savvy daughter of media mogul Logan Roy in the television series "Succession."
  • D. Shree Ashtavinayak Cine Vision
    Shree Ashtavinayak Cine Vision is an Indian film production and distribution company known for backing several major Bollywood films.
  • E. Haryanvi cinema
    Haryanvi cinema is the regional film industry producing movies in the Haryanvi language, primarily serving audiences in the Indian state of Haryana and nearby regions.
  • 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.