Triple

T21945112
Position Surface form Disambiguated ID Type / Status
Subject Vijaypath E541913 entity
Predicate distributor P1951 FINISHED
Object A. K. Films 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: A. K. Films | Statement: [Vijaypath, distributor, A. K. Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A. K. Films
Context triple: [Vijaypath, distributor, A. K. Films]
  • A. A. K. Films chosen
    A. K. Films is an Indian film production company known for producing the 1994 Hindi action drama movie "Vijaypath."
  • B. GK Films
    GK Films is a British-American production company founded by producer Graham King, known for backing acclaimed films such as Argo, The Departed, and Bohemian Rhapsody.
  • C. Aries Films
    Aries Films is a film distribution company known for handling the release of independent and art-house movies such as "Bad Lieutenant."
  • D. Apache Films
    Apache Films is a Spanish film production company known for backing genre and auteur-driven movies such as the psychological thriller "Marrowbone."
  • E. Aiete Films
    Aiete Films is a Spanish film production company known for backing notable Spanish-language cinema such as the acclaimed historical drama "¡Ay, Carmela!".
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.