Triple

T7962602
Position Surface form Disambiguated ID Type / Status
Subject Movies on Demand 2 E184906 entity
Predicate partOf P40 FINISHED
Object Movies on Demand series E184905 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: Movies on Demand series | Statement: [Movies on Demand 2, partOf, Movies on Demand series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Movies on Demand series
Context triple: [Movies on Demand 2, partOf, Movies on Demand series]
  • A. Movies on Demand chosen
    Movies on Demand is a film or video project associated with the band Consequence, likely serving as a notable visual or multimedia extension of their music.
  • B. Movies on Demand 2
    Movies on Demand 2 is a work associated with the band Consequence, likely serving as a sequel or follow-up installment in their creative output.
  • C. TCM On Demand
    TCM On Demand is a streaming service that lets viewers watch a rotating selection of classic films and programming from Turner Classic Movies on demand.
  • D. Sundance Now
    Sundance Now is a subscription streaming service specializing in independent films, documentaries, and prestige television series.
  • E. Movies on Demand 3
    Movies on Demand 3 is the third installment in the Movies on Demand series, continuing its on-demand film programming format.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b9df72081908d33925da10192e9 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc566604e881908792c7155a370e4c completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:12 p.m.