Triple

T8156245
Position Surface form Disambiguated ID Type / Status
Subject Living (2022 film) E190455 entity
Predicate distributor P1951 FINISHED
Object Lionsgate UK E75454 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: Lionsgate UK | Statement: [Living (2022 film), distributor, Lionsgate UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lionsgate UK
Context triple: [Living (2022 film), distributor, Lionsgate UK]
  • A. Lionsgate chosen
    Lionsgate is a major North American entertainment company and film studio known for producing and distributing a wide range of popular movies and television series.
  • B. Lion's Gate Films
    Lion's Gate Films is an American independent film production and distribution company known for releasing a wide range of arthouse and genre films.
  • C. Lions' Gate
    Lions' Gate is one of the historic entrances to Jerusalem’s Old City, leading directly toward the Temple Mount/Haram al-Sharif area.
  • D. 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.
  • E. Buena Vista International
    Buena Vista International is a global film distribution company historically associated with The Walt Disney Company, responsible for releasing many of its movies in international markets.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d8a37481909397b5cc321b94be completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf18c30c8190bdd98c4f0c2d28ea completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.