Triple

T16015964
Position Surface form Disambiguated ID Type / Status
Subject The Exception E388466 entity
Predicate distributor P1951 FINISHED
Object Lionsgate UK E1045422 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: [The Exception, distributor, Lionsgate UK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lionsgate UK
Context triple: [The Exception, distributor, Lionsgate UK]
  • A. Lionsgate (United Kingdom) chosen
    Lionsgate (United Kingdom) is the British distribution arm of the global entertainment company Lionsgate, responsible for releasing films and television content in the UK market.
  • B. Lionsgate
    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.
  • C. 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.
  • D. 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.
  • E. ThinkFilm
    ThinkFilm was an independent film distribution company known for releasing arthouse and specialty films in the early 2000s.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18294f6c48190ab9d3eead268f846 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbcdf2548190999a6d093c7fb64a completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:55 a.m.