Triple

T25235895
Position Surface form Disambiguated ID Type / Status
Subject Saami Saami E632334 entity
Predicate productionBannerOfFilm P13183 FINISHED
Object Mythri Movie Makers 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: Mythri Movie Makers | Statement: [Saami Saami, productionBannerOfFilm, Mythri Movie Makers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: productionBannerOfFilm
Context triple: [Saami Saami, productionBannerOfFilm, Mythri Movie Makers]
  • A. notableProductionBanner
    Indicates that an entity is prominently associated with a specific production banner, such as a major studio or production company, in a notable or distinguishing way.
  • B. filmProject
    Indicates a relationship where an entity is involved in or associated with a specific film production project.
  • C. filmBase
    Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
  • D. producedFilm chosen
    Indicates that one entity served as the producer (or production company) responsible for making or financing the creation of a particular film.
  • E. productionTitleOf
    Indicates that one entity is the title associated with a particular production (such as a film, show, or performance).
  • F. None of above.

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_69e75a8ec5f88190b9eba06ae42b413a completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f661b58ac48190907b6c6e9ccc2c59 completed May 2, 2026, 8:42 p.m.
PD Predicate disambiguation batch_69f660eea4648190b0d5e24293607813 completed May 2, 2026, 8:39 p.m.
Created at: April 21, 2026, 1:07 p.m.