Triple

T19527564
Position Surface form Disambiguated ID Type / Status
Subject Edward Small E488566 entity
Predicate foundedCompany P46924 FINISHED
Object Reliance Pictures 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: Reliance Pictures | Statement: [Edward Small, foundedCompany, Reliance Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reliance Pictures
Context triple: [Edward Small, foundedCompany, Reliance Pictures]
  • A. Reliance Entertainment chosen
    Reliance Entertainment is an Indian film and media production company known for financing and distributing a wide range of Bollywood and international movies.
  • B. Indican Pictures
    Indican Pictures is an independent film distribution company known for releasing cult and genre films, including the crime thriller "The Boondock Saints."
  • C. Lightning Pictures
    Lightning Pictures is a film production company known for producing the 1990 thriller "Blue Steel."
  • D. R. K. Films
    R. K. Films is an Indian film production company founded by legendary actor-filmmaker Raj Kapoor, known for producing several classic Hindi movies.
  • E. Bidangil Pictures
    Bidangil Pictures is a South Korean film production company known for producing the sci-fi space adventure movie "Space Sweepers."
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363c2660819093a6b9a444ca0ad4 completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.