Triple

T3698990
Position Surface form Disambiguated ID Type / Status
Subject Tideland E78527 entity
Predicate distributor P1951 FINISHED
Object ThinkFilm E340329 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: ThinkFilm | Statement: [Tideland, distributor, ThinkFilm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ThinkFilm
Context triple: [Tideland, distributor, ThinkFilm]
  • A. Alliance Films
    Alliance Films was a major Canadian film distribution and production company known for releasing a wide range of independent and international movies in Canada and other markets.
  • B. Dimension Films
    Dimension Films is an American film production and distribution company best known for releasing popular horror and genre franchises such as Scream and Scary Movie.
  • C. THINKFilm chosen
    THINKFilm was an independent film distribution company known for releasing acclaimed documentaries and art-house films in the early 2000s.
  • D. Millennium Films
    Millennium Films is an American independent film production company known for producing mid-budget action and thriller movies, including titles like The Expendables series.
  • E. Overture Films
    Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc513d26c8190bfdf25f62af8c6ca completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb02366881909d984b54bfc571e9 completed March 14, 2026, 6:06 a.m.
Created at: March 8, 2026, 3:26 p.m.