Triple

T16183441
Position Surface form Disambiguated ID Type / Status
Subject Raja Hindustani E392740 entity
Predicate distributor P1951 FINISHED
Object Cineyug Films E1199401 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: Cineyug Films | Statement: [Raja Hindustani, distributor, Cineyug Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cineyug Films
Context triple: [Raja Hindustani, distributor, Cineyug Films]
  • A. Cineyug Films chosen
    Cineyug Films is an Indian film production company known for backing major Bollywood projects and entertainment ventures.
  • B. Cinelou Films
    Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
  • C. Diaphana Films
    Diaphana Films is a French film distribution and production company known for handling acclaimed international and auteur cinema.
  • D. Candescent Films
    Candescent Films is an independent film production company known for backing socially conscious and character-driven documentaries and narrative features.
  • E. Elixir Films
    Elixir Films is a film production company known for producing the 2010 drama film "The Way," directed by Emilio Estevez and starring Martin Sheen.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ef39081908da383abdebc2ccc completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0007899b408190abcb7e72bdc81e9d completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:02 a.m.